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Proceedings of the 13th International Conference on Distributed Smart Cameras最新文献

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A system for image acquisition and processing operating in the visible and the IR bands 一种用于可见光和红外波段图像采集和处理的系统
Proceedings of the 13th International Conference on Distributed Smart Cameras Pub Date : 2019-09-09 DOI: 10.1145/3349801.3357127
J. A. Leñero-Bardallo, J. Bernabéu-Wittel, J. Caceres, Á. Rodríguez-Vázquez
{"title":"A system for image acquisition and processing operating in the visible and the IR bands","authors":"J. A. Leñero-Bardallo, J. Bernabéu-Wittel, J. Caceres, Á. Rodríguez-Vázquez","doi":"10.1145/3349801.3357127","DOIUrl":"https://doi.org/10.1145/3349801.3357127","url":null,"abstract":"This demo displays an autonomous image acquisition and processing system that operates simultaneously with two image sensors either in the visible and the Long Wave Infrared Band (LWIR), inside the Infrared (IR) band. The entire system is controlled a Raspberry Pi board that allows to easily program image processing algorithms to process the images acquired with each sensor. It is a competitive alternative to conventional commercial closed systems with infrared cameras. The proposed imaging system can be easily adapted to different operation scenarios by adding new peripherals, sensors and full custom image processing algorithms.","PeriodicalId":299138,"journal":{"name":"Proceedings of the 13th International Conference on Distributed Smart Cameras","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131011568","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: 0
CNN Performance Prediction on a CPU-based Edge Platform 基于cpu边缘平台的CNN性能预测
Proceedings of the 13th International Conference on Distributed Smart Cameras Pub Date : 2019-09-09 DOI: 10.1145/3349801.3357131
Delia Velasco-Montero, J. Fernández-Berni, R. Carmona-Galán, Á. Rodríguez-Vázquez
{"title":"CNN Performance Prediction on a CPU-based Edge Platform","authors":"Delia Velasco-Montero, J. Fernández-Berni, R. Carmona-Galán, Á. Rodríguez-Vázquez","doi":"10.1145/3349801.3357131","DOIUrl":"https://doi.org/10.1145/3349801.3357131","url":null,"abstract":"The implementation of algorithms based on Deep Learning at edge visual systems is currently a challenge. In addition to accuracy, the network architecture also has an impact on inference performance in terms of throughput and power consumption. This demo showcases per-layer inference performance of various convolutional neural networks running at a low-cost edge platform. Furthermore, an empirical model is applied to predict processing time and power consumption prior to actually running the networks. A comparison between the prediction from our model and the actual inference performance is displayed in real time.","PeriodicalId":299138,"journal":{"name":"Proceedings of the 13th International Conference on Distributed Smart Cameras","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122426446","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: 0
Generating Domain and Pose Variations between Pair of Cameras for Person Re-Identification 基于人再识别的双相机域和姿态变化生成方法
Proceedings of the 13th International Conference on Distributed Smart Cameras Pub Date : 2019-09-09 DOI: 10.1145/3349801.3357135
A. Munir, G. Foresti, C. Micheloni
{"title":"Generating Domain and Pose Variations between Pair of Cameras for Person Re-Identification","authors":"A. Munir, G. Foresti, C. Micheloni","doi":"10.1145/3349801.3357135","DOIUrl":"https://doi.org/10.1145/3349801.3357135","url":null,"abstract":"Person re-identification (re-id) remains an important task that aims to retrieve a person's images from an image dataset, given a probe image. The lack of cross-view (pose variations) training data and significant intra-class (domain) variations across different cameras make re-id more challenging. To solve these issues, this work proposes a Domain and Pose Invariant Generative Adversarial Network (DPI-GAN) to generate images for both domain and pose variations capture. It is based on a CycleGAN structure in which the generator networks are conditioned on a new pose. Identity and pose discriminators networks are used to monitor the image generation process. These generated images are used for learning domain and pose invariant features to improve the performance of person re-identification.","PeriodicalId":299138,"journal":{"name":"Proceedings of the 13th International Conference on Distributed Smart Cameras","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130372596","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
Region Merging Driven by Deep Learning for RGB-D Segmentation and Labeling 基于深度学习的区域合并RGB-D分割与标记
Proceedings of the 13th International Conference on Distributed Smart Cameras Pub Date : 2019-09-09 DOI: 10.1145/3349801.3349810
Umberto Michieli, Maria Camporese, Andrea Agiollo, Giampaolo Pagnutti, P. Zanuttigh
{"title":"Region Merging Driven by Deep Learning for RGB-D Segmentation and Labeling","authors":"Umberto Michieli, Maria Camporese, Andrea Agiollo, Giampaolo Pagnutti, P. Zanuttigh","doi":"10.1145/3349801.3349810","DOIUrl":"https://doi.org/10.1145/3349801.3349810","url":null,"abstract":"Among the various segmentation techniques, a widely used family of approaches are the ones based on region merging, where an initial oversegmentation is progressively refined by joining segments with similar characteristics. Instead of using deterministic approaches to decide which segments are going to be merged we propose to exploit a convolutional neural network which takes a couple of segments as input and decides whether to join or not the segments. We fitted this idea into an existent iterative semantic segmentation scheme for RGB-D data. We were able to lower the number of free parameters and to greatly speedup the procedure while achieving comparable or even higher results, thus allowing for its usage in free navigation systems. Furthermore, our method could be extended straightforwardly to other fields where region merging strategies are exploited.","PeriodicalId":299138,"journal":{"name":"Proceedings of the 13th International Conference on Distributed Smart Cameras","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121405593","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
Automatic Assessment of Infant Sleep Safety Using Semantic Segmentation 基于语义分割的婴儿睡眠安全自动评估
Proceedings of the 13th International Conference on Distributed Smart Cameras Pub Date : 2019-09-09 DOI: 10.1145/3349801.3349824
Danielle Tchuinkou Kwadjo, Erman Nghonda Tchinda, C. Bobda, R. Nabaweesi, Nafissetou Nziengam, M. Aitken, L. Whiteside-Mansell, Shari Barkin, S. Mullins, G. Curran
{"title":"Automatic Assessment of Infant Sleep Safety Using Semantic Segmentation","authors":"Danielle Tchuinkou Kwadjo, Erman Nghonda Tchinda, C. Bobda, R. Nabaweesi, Nafissetou Nziengam, M. Aitken, L. Whiteside-Mansell, Shari Barkin, S. Mullins, G. Curran","doi":"10.1145/3349801.3349824","DOIUrl":"https://doi.org/10.1145/3349801.3349824","url":null,"abstract":"In this paper, an infant sleep prevention solution based on semantic to access infant environmental hazards is presented. To promote safe sleep evaluation and implement sustainability in rural underserved communities, we use deep learning techniques to automatically assess photographs of the infant's sleep environment and report unsafe environments. To achieve this, we first built and labeled a dataset of 626 images from infants in various sleep positions and environments. The segmentation architecture is composed of a downsampling path responsible for extracting coarse semantic features, followed by an upsampling path trained to recover the input image resolution and finally, a pixel-wise classification layer. The trained model is also integrated into an android application to provides a sustainable evaluation/assessment tool. We achieve state-of-the-art results and demonstrated that the automated assessment system could identify safe/unsafe sleep environment using photographs.","PeriodicalId":299138,"journal":{"name":"Proceedings of the 13th International Conference on Distributed Smart Cameras","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129226398","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: 2
Genetic Algorithms for the Optimization of Diffusion Parameters in Content-Based Image Retrieval 基于内容的图像检索中扩散参数优化的遗传算法
Proceedings of the 13th International Conference on Distributed Smart Cameras Pub Date : 2019-08-19 DOI: 10.1145/3349801.3349815
Federico Magliani, Laura Sani, S. Cagnoni, A. Prati
{"title":"Genetic Algorithms for the Optimization of Diffusion Parameters in Content-Based Image Retrieval","authors":"Federico Magliani, Laura Sani, S. Cagnoni, A. Prati","doi":"10.1145/3349801.3349815","DOIUrl":"https://doi.org/10.1145/3349801.3349815","url":null,"abstract":"Several computer vision and artificial intelligence projects are nowadays exploiting the manifold data distribution using, e.g., the diffusion process. This approach has produced dramatic improvements on the final performance thanks to the application of such algorithms to the kNN graph. Unfortunately, this recent technique needs a manual configuration of several parameters, thus it is not straightforward to find the best configuration for each dataset. Moreover, the brute-force approach is computationally very demanding when used to optimally set the parameters of the diffusion approach. We propose to use genetic algorithms to find the optimal setting of all the diffusion parameters with respect to retrieval performance for each different dataset. Our approach is faster than others used as references (brute-force, random-search and PSO). A comparison with these methods has been made on three public image datasets: Oxford5k, Paris6k and Oxford105k.","PeriodicalId":299138,"journal":{"name":"Proceedings of the 13th International Conference on Distributed Smart Cameras","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129874509","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: 10
Proceedings of the 13th International Conference on Distributed Smart Cameras 第十三届分布式智能摄像机国际会议论文集
Proceedings of the 13th International Conference on Distributed Smart Cameras Pub Date : 1900-01-01 DOI: 10.1145/3349801
{"title":"Proceedings of the 13th International Conference on Distributed Smart Cameras","authors":"","doi":"10.1145/3349801","DOIUrl":"https://doi.org/10.1145/3349801","url":null,"abstract":"","PeriodicalId":299138,"journal":{"name":"Proceedings of the 13th International Conference on Distributed Smart Cameras","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114405637","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: 0
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