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2006 IEEE International Conference on Video and Signal Based Surveillance最新文献

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Visual Recognition of Manual Tasks Using Object Motion Trajectories 使用物体运动轨迹的手动任务视觉识别
2006 IEEE International Conference on Video and Signal Based Surveillance Pub Date : 2006-11-22 DOI: 10.1109/AVSS.2006.117
A. Naftel, F. Anwar
{"title":"Visual Recognition of Manual Tasks Using Object Motion Trajectories","authors":"A. Naftel, F. Anwar","doi":"10.1109/AVSS.2006.117","DOIUrl":"https://doi.org/10.1109/AVSS.2006.117","url":null,"abstract":"Motion trajectories are powerful cues for event detection and recognition. In this paper we present a system for manual task analysis that distinguishes between skin and object motion and learns activity patterns through analysing object trajectories. It is particularly suited to the recognition of common object handling tasks. Our vision system performs hand skin detection and object segmentation for each frame in a sequence. The object trajectories are then modelled as motion time series. We have compared the performance of several different time series indexing schemes: symbolic, polynomial and orthonormal basis functions used for trajectory similarity retrieval and classification. We then attempt to cluster objectcentred motion patterns in the coefficient feature space. The proposed technique is validated on two different datasets, Australian Sign Language and object handling data obtained in the laboratory. Applications to task recognition and motion data mining in industrial surveillance applications are envisaged.","PeriodicalId":289876,"journal":{"name":"2006 IEEE International Conference on Video and Signal Based Surveillance","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115310215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Large System Decision Fusion Performance in Inhomogeneous Sensor Networks 非均匀传感器网络中的大系统决策融合性能
2006 IEEE International Conference on Video and Signal Based Surveillance Pub Date : 2006-11-22 DOI: 10.1109/AVSS.2006.69
S. Jayaweera, Kossai Al-Tarazi
{"title":"Large System Decision Fusion Performance in Inhomogeneous Sensor Networks","authors":"S. Jayaweera, Kossai Al-Tarazi","doi":"10.1109/AVSS.2006.69","DOIUrl":"https://doi.org/10.1109/AVSS.2006.69","url":null,"abstract":"The problem of decision fusion in a large wireless sensor system with many power-constrained distributed nodes is considered. The sensor network is assumed to be inhomogeneous. i.e. the channel statistics are not identical among the sensors. Assuming identical, binary local quantizing schemes at all the nodes, the optimal fusion scheme is derived. The large system performance of this optimal decision fusion detector is next analyzed. The asymptotic fusion performance is derived via the Lindberg-Feller central limit theorem for non-identical large samples. Numerical examples are used to show that the derived large system closed-form fusion error probability expressions provide a very close approximation to the exact finite-size sensor system fusion performance even for a relatively smaller number of nodes.","PeriodicalId":289876,"journal":{"name":"2006 IEEE International Conference on Video and Signal Based Surveillance","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124417991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Dynamic Control of Adaptive Mixture-of-Gaussians Background Model 自适应混合高斯背景模型的动态控制
2006 IEEE International Conference on Video and Signal Based Surveillance Pub Date : 2006-11-22 DOI: 10.1109/AVSS.2006.44
Atsushi Shimada, Daisaku Arita, R. Taniguchi
{"title":"Dynamic Control of Adaptive Mixture-of-Gaussians Background Model","authors":"Atsushi Shimada, Daisaku Arita, R. Taniguchi","doi":"10.1109/AVSS.2006.44","DOIUrl":"https://doi.org/10.1109/AVSS.2006.44","url":null,"abstract":"We propose a method for create a background model in non-stationary scenes. Each pixel has a dynamic Gaussian mixture model. Our approach can automatically change the number of Gaussians in each pixel. The number of Gaussians increases when pixel values often change because of Illumination change, object moving and so on. On the other hand, when pixel values are constant in a while, some Gaussians are eliminated or integrated. This process helps reduce computational time. We conducted experiments to investigate the effectiveness of our approach.","PeriodicalId":289876,"journal":{"name":"2006 IEEE International Conference on Video and Signal Based Surveillance","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121121215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 108
Recovery of Circular Motion Geometry in Spite of Varying Intrinsic Parameters 不考虑内在参数变化的圆周运动几何恢复
2006 IEEE International Conference on Video and Signal Based Surveillance Pub Date : 2006-11-22 DOI: 10.1109/AVSS.2006.97
Y. Li, Y. Hung
{"title":"Recovery of Circular Motion Geometry in Spite of Varying Intrinsic Parameters","authors":"Y. Li, Y. Hung","doi":"10.1109/AVSS.2006.97","DOIUrl":"https://doi.org/10.1109/AVSS.2006.97","url":null,"abstract":"Previous algorithms for recovering 3D geometry from uncalibrated circular motion image sequences of unknown rotation angles are mostly for constant intrinsic parameters. In this paper, a new and simple method for recovering circular motion geometry in spite of varying intrinsic parameters is proposed. It is shown that the movement of the camera forms two concentric circles on the motion plane. By identifying the concentric conic loci in 3D projective frame, the geometry of circular motion can be recovered. Compared with existing rotation angle recovery methods, the new method is (i) more flexible in that it allows the intrinsic parameters to vary from image to image; (ii) simpler by avoiding the calculation of the intersection points of two conics which is notoriously complicated. Experimental results for real images are provided to show the performance of the proposed method.","PeriodicalId":289876,"journal":{"name":"2006 IEEE International Conference on Video and Signal Based Surveillance","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126866623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Face Detection with High Precision Based on Radial-Symmetry Transform and Eye-Pair Checking 基于径向对称变换和双眼检测的高精度人脸检测
2006 IEEE International Conference on Video and Signal Based Surveillance Pub Date : 2006-11-22 DOI: 10.1109/AVSS.2006.49
Yea-Shuan Huang, H. Cheng, P. Cheng, Cheng-Yuan Tang
{"title":"Face Detection with High Precision Based on Radial-Symmetry Transform and Eye-Pair Checking","authors":"Yea-Shuan Huang, H. Cheng, P. Cheng, Cheng-Yuan Tang","doi":"10.1109/AVSS.2006.49","DOIUrl":"https://doi.org/10.1109/AVSS.2006.49","url":null,"abstract":"In this paper, a novel face detection algorithm is proposed which can detect both face and eye pupils efficiently at the same time. Interestingly, the results of face detection can be used to identify the regions of interest for pupil detection, and the results of pupil detection can be further contributed to detect more precise faces. A cascaded face filter is first constructed by using an adaboosting algorithm, which can rapidly filter out the non-face regions and keeps the possible face regions. Based on a radial-symmetry transform, the signal of eye pupil in a face candidate is considerably enhanced and becomes easy to detect. With an eye-pair checking process, the two pupil candidates are chosen as the outputted pupils if their corresponding face image obtains the highest verification score which is also larger than a predefined threshold. Experiments on the famous BioID face database have shown that 90.0% of faces can be successfully detected, and among the detected faces about 98% of eye pupils are detected with highly acceptable precision.","PeriodicalId":289876,"journal":{"name":"2006 IEEE International Conference on Video and Signal Based Surveillance","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122748283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Registration of Multimodal Stereo Images Using Disparity Voting from Correspondence Windows 基于视差投票的多模态立体图像配准
2006 IEEE International Conference on Video and Signal Based Surveillance Pub Date : 2006-11-22 DOI: 10.1109/AVSS.2006.98
S. Krotosky, M. Trivedi
{"title":"Registration of Multimodal Stereo Images Using Disparity Voting from Correspondence Windows","authors":"S. Krotosky, M. Trivedi","doi":"10.1109/AVSS.2006.98","DOIUrl":"https://doi.org/10.1109/AVSS.2006.98","url":null,"abstract":"This paper presents a method for registering multimodal imagery in short range surveillance situations when the differences in object depths preclude any global registration techniques. An analysis of multimodal registration approaches gives insight into the limitations of global assumptions and motivates the developed algorithm. Using calibrated stereo imagery, we use maximization of mutual information in sliding correspondence windows that inform a disparity voting scheme to demonstrate successful registration of color and thermal images. Extensive testing of scenes with multiple people at different depths and levels of occlusion shows high rates of successful registration and gives a reliable framework for further processing and analysis of the multimodal imagery.","PeriodicalId":289876,"journal":{"name":"2006 IEEE International Conference on Video and Signal Based Surveillance","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129262784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Holonic Multi-agent Systems to Integrate Independent Multi-sensor Platforms in Complex Surveillance 复杂监控中集成独立多传感器平台的全息多智能体系统
2006 IEEE International Conference on Video and Signal Based Surveillance Pub Date : 2006-11-22 DOI: 10.1109/AVSS.2006.58
Julián J. Valencia-Jiménez, A. Fernández-Caballero
{"title":"Holonic Multi-agent Systems to Integrate Independent Multi-sensor Platforms in Complex Surveillance","authors":"Julián J. Valencia-Jiménez, A. Fernández-Caballero","doi":"10.1109/AVSS.2006.58","DOIUrl":"https://doi.org/10.1109/AVSS.2006.58","url":null,"abstract":"As far as a surveillance system is always integrated in an environment it has to adapt to possible changes that can occur in it. For this reason, it is not sufficient to install a series of sensors along the facilities to be guarded, as any modifications enormously increment the amount of data to be interpreted. Also, eventual failures or sabotages to the sensors produce the collapse of the system, which is not convenient at all in a potentially dangerous environment. Thus, the natural evolution of these systems is the integration in a compact system of intelligent platforms, which are able or not of moving in the environment, which possess several and complementary sensor types, and which interpret the information of each sensor coherently to offer the platform itself a fair service of surveillance. Quality of service is notably increased when there are a sufficient number of platforms forming a compact multi-agent system (MAS). Moreover, this MAS can itself be a compact subsystem of a superior hierarchy MAS composed of several subsystems. This is what we denominate recursive or holonic multi-agent systems.","PeriodicalId":289876,"journal":{"name":"2006 IEEE International Conference on Video and Signal Based Surveillance","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129664221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 17
Recognizing Facial Expressions in Videos Using a Facial Action Analysis-Synthesis Scheme 使用面部动作分析-合成方案识别视频中的面部表情
2006 IEEE International Conference on Video and Signal Based Surveillance Pub Date : 2006-11-22 DOI: 10.1109/AVSS.2006.96
F. Dornaika, B. Raducanu
{"title":"Recognizing Facial Expressions in Videos Using a Facial Action Analysis-Synthesis Scheme","authors":"F. Dornaika, B. Raducanu","doi":"10.1109/AVSS.2006.96","DOIUrl":"https://doi.org/10.1109/AVSS.2006.96","url":null,"abstract":"In this paper, we propose a novel approach for facial expression analysis and recognition. The proposed approach relies on tracked facial actions provided by an appearance-based 3D face tracker. For each universal expression, a dynamical model for facial actions given by an auto-regressive process is learned from training data. We classify a given image in an unseen video into one of the universal facial expression categories using an analysis-synthesis scheme. This scheme uses all models and select the one that provides the most consistent synthesized spatio-temporal facial actions. The dynamical models can be utilized in the tasks of synthesis and prediction. Experiments using unseen videos demonstrated the effectiveness of the developed method.","PeriodicalId":289876,"journal":{"name":"2006 IEEE International Conference on Video and Signal Based Surveillance","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126986010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
An Optical System for Guidance of Terrain Following in UAVs 一种用于无人机地形跟踪制导的光学系统
2006 IEEE International Conference on Video and Signal Based Surveillance Pub Date : 2006-11-22 DOI: 10.1109/AVSS.2006.23
M. Srinivasan, Saul Thurrowgood, D. Soccol
{"title":"An Optical System for Guidance of Terrain Following in UAVs","authors":"M. Srinivasan, Saul Thurrowgood, D. Soccol","doi":"10.1109/AVSS.2006.23","DOIUrl":"https://doi.org/10.1109/AVSS.2006.23","url":null,"abstract":"There is considerable interest in designing guidance systems for UAVs that use passive sensing (such as vision), rather than active sensing which can be bulky, expensive and stealth-compromising. Here we describe an optical sensor, based partly on principles of insect vision and optic flow analysis, for measurement and control of height above the ground. A video camera is used in conjunction with a specially shaped reflective surface to simplify the computation of optic flow, and extend the range of aircraft speeds over which accurate data can be obtained. The imaging system also provides a useful geometrical remapping of the environment, which facilitates obstacle avoidance and computation of 3-D terrain maps.","PeriodicalId":289876,"journal":{"name":"2006 IEEE International Conference on Video and Signal Based Surveillance","volume":"38 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130057015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 36
"Hybrid Cone-Cylinder" Codebook Model for Foreground Detection with Shadow and Highlight Suppression 具有阴影和高光抑制的前景检测“混合锥-圆柱”码本模型
2006 IEEE International Conference on Video and Signal Based Surveillance Pub Date : 2006-11-22 DOI: 10.1109/AVSS.2006.1
A. Doshi, M. Trivedi
{"title":"\"Hybrid Cone-Cylinder\" Codebook Model for Foreground Detection with Shadow and Highlight Suppression","authors":"A. Doshi, M. Trivedi","doi":"10.1109/AVSS.2006.1","DOIUrl":"https://doi.org/10.1109/AVSS.2006.1","url":null,"abstract":"In the interest of 24-7 long-term surveillance, a truly robust, adaptive, and fast background-foreground segmentation technique is required. This paper deals with the especially difficult but extremely common problems of moving backgrounds, shadows, highlights, and illumination changes. To produce reliable foreground extraction in the face of these problems, the best practical aspects of two algorithms, Codebook Segmentation[6] and HSV Shadow Suppression[2] are combined. The main contribution of this paper is the introduction of the \"Hybrid Cone-Cylinder\" Codebook (HC3) model. Results show superior speed and quantitatively better performance in many different conditions and environments. Applications include people-tracking with Omni-directional cameras and vehicle-counting with rectilinear cameras.","PeriodicalId":289876,"journal":{"name":"2006 IEEE International Conference on Video and Signal Based Surveillance","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134148800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 45
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