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This article focuses on the design of a collaborative target localization algorithm that is resilient to sensor faults. We first develop a distributed solution to fault-tolerant target localization based on a so-called\n            <jats:italic>certainty map<\/jats:italic>\n            . To tolerate potential sensor faults, a voting mechanism is adopted and a threshold value needs to be specified which is the key to the realization of the distributed solution. Analytical study is conducted to derive the lower and upper bounds for the threshold such that the probability of faulty sensors negatively impacts the localization performance is less than a small value. Second, we focus on the detection and correction of one type of sensor faults, error in camera orientation. We construct a generative image model in each camera based on the detected target location to estimate camera's orientation, detect inaccuracies in camera orientations and correct them before they cascade. Based on results obtained from both simulation and real experiments, we show that the proposed method is effective in localization accuracy as well as fault detection and correction performance.\n          <\/jats:p>","DOI":"10.1145\/2529999","type":"journal-article","created":{"date-parts":[[2014,1,28]],"date-time":"2014-01-28T13:49:22Z","timestamp":1390916962000},"page":"1-24","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Collaborative localization in visual sensor networks"],"prefix":"10.1145","volume":"10","author":[{"given":"Mahmut","family":"Karakaya","sequence":"first","affiliation":[{"name":"Oak Ridge National Laboratory, Talas\/Kayseri, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hairong","family":"Qi","sequence":"additional","affiliation":[{"name":"University of Tennessee, Knoxville TN"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2014,1,31]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"A. 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Aghajan and Andrea Cavallaro . 2009. Multi-Camera Networks: Principles and Applications . Academic Press , Oxford, UK . H. Aghajan and Andrea Cavallaro. 2009. Multi-Camera Networks: Principles and Applications. Academic Press, Oxford, UK."},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2009.2024941"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDSC.2008.4635675"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2004.1261838"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1155\/2007\/60696"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1155\/2007\/96742"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1174"},{"key":"e_1_2_1_10_1","unstructured":"A. Goode A. Rowe and K. Agyeman. 2012. Welcome the new cmucam4. http:\/\/www.cmucam.org\/projects\/cmucam4\/.  A. Goode A. Rowe and K. Agyeman. 2012. 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Dspcam: A camera sensor system for surveillance networks . In Proceedings of the 3rd ACM\/IEEE International Conference on Distributed Smart Cameras. 1--7. A. Kandhalu, A. Rowe, and R. Rajkumar. 2009. Dspcam: A camera sensor system for surveillance networks. 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