Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Ahmed Tashrif Kamal"'
Publikováno v:
Kamal, Ahmed T; Bappy, Jawadul H; Farrell, Jay A; & Roy-Chowdhury, Amit K. (2016). Distributed Multi-Target Tracking and Data Association in Vision Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(7), 1397-1410. doi: 10.1109/TPAMI.2015.2484339. UC Riverside: Center for Environmental Research and Technology. Retrieved from: http://www.escholarship.org/uc/item/6cq1w8t4
Distributed algorithms have recently gained immense popularity. With regards to computer vision applications, distributed multi-target tracking in a camera network is a fundamental problem. The goal is for all cameras to have accurate state estimates
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ca09f866b624ceb6e68adbea131884c
https://doi.org/10.1109/tpami.2015.2484339
https://doi.org/10.1109/tpami.2015.2484339
Publikováno v:
IEEE Transactions on Automatic Control. 58:3112-3125
Due to their high fault-tolerance and scalability to large networks, consensus-based distributed algorithms have recently gained immense popularity in the sensor networks community. Large-scale camera networks are a special case. In a consensus-based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cda7368e0b7e8238ace2876d4c81e9e
https://doi.org/10.1109/tac.2013.2277621
https://doi.org/10.1109/tac.2013.2277621
Publikováno v:
IEEE Signal Processing Magazine. 28:20-31
Over the past decade, large-scale camera networks have become increasingly prevalent in a wide range of applications, such as security and surveillance, disaster response, and environmental modeling. In many applications, bandwidth constraints, secur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c6b8e20973808dd7cb54fc7bb88fab0
https://doi.org/10.1109/msp.2011.940441
https://doi.org/10.1109/msp.2011.940441
Autor:
Chong Ding, Bi Song, Jay A. Farrell, Amit K. Roy-Chowdhury, Cristian Soto, Ahmed Tashrif Kamal
Publikováno v:
IEEE Transactions on Image Processing. 19:2564-2579
Camera networks are being deployed for various applications like security and surveillance, disaster response and environmental modeling. However, there is little automated processing of the data. Moreover, most methods for multicamera analysis are c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c915c543a91db3299cc1848c79b653c1
https://doi.org/10.1109/tip.2010.2052823
https://doi.org/10.1109/tip.2010.2052823
Publikováno v:
CVPR
Due to their high fault-tolerance, ease of installation and scalability to large networks, distributed algorithms have recently gained immense popularity in the sensor networks community, especially in computer vision. Multi-target tracking in a came
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51f2bec88a17f832666886084d20db46
https://doi.org/10.1109/cvpr.2013.311
https://doi.org/10.1109/cvpr.2013.311
Publikováno v:
Augmented Vision and Reality ISBN: 9783642378409
In many applications, the information from all the cameras are transmitted to a centralized processing unit. However, for larger networks, centralized schemes can be unscalable and they also exhibit the risk of having a single point of failure. These
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bf129252181fab1a2343db05db408bd
https://doi.org/10.1007/8612_2012_10
https://doi.org/10.1007/8612_2012_10
Publikováno v:
CDC
Consensus-based distributed estimation schemes are becoming increasingly popular in sensor networks due to their scalability and fault tolerance capabilities. In a consensus-based state estimation framework, multiple neighboring nodes iteratively com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::350c78429817b47e319659a2fb648f68
https://doi.org/10.1109/cdc.2012.6426886
https://doi.org/10.1109/cdc.2012.6426886
Publikováno v:
ICIP
Distributed algorithms in the sensors networks community usually require each sensor to have its own measurement. In practice, this constraint can not always be met. For example, in a camera network, all cameras might not observe a particular target
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63a350d29acc21af731d983bbf6dfd3e
https://doi.org/10.1109/icip.2012.6467058
https://doi.org/10.1109/icip.2012.6467058
Publikováno v:
CDC/ECC
Distributed analysis of video captured by a large network of cameras has received significant attention lately. Tracking moving targets is one of the most fundamental tasks in this regard and the well-known Kalman Consensus Filter (KCF) has been appl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dab37677bab69257cef7e2b3cbecdd7a
https://doi.org/10.1109/cdc.2011.6160333
https://doi.org/10.1109/cdc.2011.6160333
Publikováno v:
ICIP
In this work, we consider a camera network where processing is distributed across the cameras. Our goal is to recognize actions of multiple targets consistently observed over the entire network. To obtain consistent and better results we need to prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eed9888f744a6e6470933e29f04b8a7e
https://doi.org/10.1109/icip.2011.6115707
https://doi.org/10.1109/icip.2011.6115707