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View all- Nguyen HBhanu B(2011)Tracking pedestrians with bacterial foraging optimization swarms2011 IEEE Congress of Evolutionary Computation (CEC)10.1109/CEC.2011.5949658(491-495)Online publication date: Jun-2011
Tracking multiple objects in non-stationary video
Authors: 
Hoang Nguyen, Bir BhanuAuthors Info & Claims
Hoang Nguyen, Bir BhanuAuthors Info & ClaimsPages 1561 - 1568
Abstract
One of the key problems in computer vision and pattern recognition is tracking. Multiple objects, occlusion, and tracking moving objects using a moving camera are some of the challenges that one may face in developing an effective approach for tracking. While there are numerous algorithms and approaches to the tracking problem with their own shortcomings, a less-studied approach considers swarm intelligence. Swarm intelligence algorithms are often suited for optimization problems, but require advancements for tracking objects in video. This paper presents an improved algorithm based on Bacterial Foraging Optimization in order to track multiple objects in real-time video exposed to full and partial occlusion, using video from both fixed and moving cameras. A comparison with various algorithms is provided.
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Index Terms
- Tracking multiple objects in non-stationary video
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Published: 08 July 2009
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View all- Nguyen HBhanu B(2011)Tracking pedestrians with bacterial foraging optimization swarms2011 IEEE Congress of Evolutionary Computation (CEC)10.1109/CEC.2011.5949658(491-495)Online publication date: Jun-2011
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