32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings.最新文献_第5页

Vehicle detection approaches using the NVESD Sensor Fusion Testbed 使用NVESD传感器融合试验台的车辆检测方法

32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings. Pub Date : 2003-10-01 DOI: 10.1109/AIPR.2003.1284249

P. Perconti, J. Hilger, M. Loew

引用次数: 4

Neural network based skin color model for face detection 基于神经网络的人脸肤色检测模型

32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings. Pub Date : 2003-10-01 DOI: 10.1109/AIPR.2003.1284262

Ming-Jung Seow, Deepthi Valaparla, V. Asari

{"title":"Neural network based skin color model for face detection","authors":"Ming-Jung Seow, Deepthi Valaparla, V. Asari","doi":"10.1109/AIPR.2003.1284262","DOIUrl":"https://doi.org/10.1109/AIPR.2003.1284262","url":null,"abstract":"This paper presents a novel neural network based technique for face detection that eliminates limitations pertaining to the skin color variations among people. We propose to model the skin color in the three dimensional RGB space which is a color cube consisting of all the possible color combinations. Skin samples in images with varying lighting conditions, from the Old Dominion University skin database, are used for obtaining a skin color distribution. The primary color components of each plane of the color cube are fed to a three-layered network, trained using the backpropagation algorithm with the skin samples, to extract the skin regions from the planes and interpolate them so as to provide an optimum decision boundary and hence the positive skin samples for the skin classifier. The use of the color cube eliminates the difficulties of finding the non-skin part of training samples since the interpolated data is consider skin and rest of the color cube is consider non-skin. Subsequent face detection is aided by the color, geometry and motion information analyses of each frame in a video sequence. The performance of the new face detection technique has been tested with real-time data of size 320/spl times/240 frames from video sequences captured by a surveillance camera. It is observed that the network can differentiate skin and non-skin effectively while minimizing false detections to a large extent when compared with the existing techniques. In addition, it is seen that the network is capable of performing face detection in complex lighting and background environments.","PeriodicalId":176987,"journal":{"name":"32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings.","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128977940","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: 83

Real time face detection from color video stream based on PCA method 基于PCA的彩色视频流实时人脸检测

32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings. Pub Date : 2003-10-01 DOI: 10.1109/AIPR.2003.1284263

Rajkiran Gottumukkal, V. Asari

引用次数: 22

Multisensor & spectral image fusion & mining: from neural systems to applications 多传感器和光谱图像融合与挖掘:从神经系统到应用

32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings. Pub Date : 2003-10-01 DOI: 10.1109/AIPR.2003.1284242

D. Fay, R. Ivey, N. Bomberger, A. Waxman

{"title":"Multisensor & spectral image fusion & mining: from neural systems to applications","authors":"D. Fay, R. Ivey, N. Bomberger, A. Waxman","doi":"10.1109/AIPR.2003.1284242","DOIUrl":"https://doi.org/10.1109/AIPR.2003.1284242","url":null,"abstract":"We have continued development of a system for multisensor image fusion and interactive mining based on neural models of color vision processing, learning and pattern recognition. We pioneered this work while at MIT Lincoln Laboratory, initially for color fused night vision (low-light visible and uncooled thermal imagery) and later extended it to multispectral IR and 3D ladder. We also developed a proof-of-concept system for EO, IR, SAR fusion and mining. Over the last year we have generalized this approach and developed a user-friendly system integrated into a COTS exploitation environment known as ERDAS Imagine. In this paper, we have summarized the approach and the neural networks used, and demonstrate fusion and interactive mining (i.e., target learning and search) of low-light visible/SWIR/MWIR/LWIR night imagery, and IKONOS multispectral and high-resolution panchromatic imagery. In addition, we had demonstrated how target learning and search can be enabled over extended operating conditions by allowing training over multiple scenes. This has been illustrated for the detection of small boats in coastal waters using fused visible/MWIR/LWIR imagery.","PeriodicalId":176987,"journal":{"name":"32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129216954","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: 4

Registration of range data from unmanned aerial and ground vehicles 登记无人驾驶飞机和地面车辆的距离数据

32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings. Pub Date : 2003-10-01 DOI: 10.1109/AIPR.2003.1284247

Anthony Downs, R. Madhavan, T. Hong

引用次数: 13

Personal authentication using feature points on finger and palmar creases 使用手指和手掌折痕上的特征点进行个人认证

32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings. Pub Date : 2003-10-01 DOI: 10.1109/AIPR.2003.1284285

J. Doi, M. Yamanaka

引用次数: 18

Proceedings. 32nd Applied Imagery Pattern Recognition Workshop 第32届应用图像模式识别研讨会论文集

32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings. Pub Date : 1900-01-01 DOI: 10.1109/AIPR.2003.1284238

引用次数: 2