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Visual Object Tracking

Visual Object Tracking. Xu Yan Advisor: Shishir K. Shah Quantitative Imaging Laboratory Computer Science Department University of Houston. Multiple Object Tracking - Objective. To develop Human tracking system by single camera in outdoor environment.

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Visual Object Tracking

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  1. Visual Object Tracking Xu Yan Advisor: Shishir K. Shah Quantitative Imaging LaboratoryComputer Science DepartmentUniversity of Houston Xu Yan Quantitative Imaging Laboratory

  2. Multiple Object Tracking - Objective • To develop Human tracking system by single camera in outdoor environment Xu Yan Quantitative Imaging Laboratory

  3. Multiple Object Tracking - Challenges • The core challenges of the visual object tracking task is the enormous unpredictable variations in targets due to : • environment changes • target deformations • partial occlusions • abrupt motion • camouflage • low image qualities Xu Yan Quantitative Imaging Laboratory

  4. Multiple Object Tracking - Framework Data Association Initialize Human Detector Human Trajectories Predictor Human Detection Prior Knowledge Tracker Xu Yan Quantitative Imaging Laboratory

  5. Human Detection • Now we give the tracker manual initialization in the first frame. Xu Yan Quantitative Imaging Laboratory

  6. Prediction - Social Interaction Xu Yan Quantitative Imaging Laboratory

  7. Data Association Blob region Likelihood of every particle Frame t Comparison Prediction region Frame t+1 Xu Yan Quantitative Imaging Laboratory

  8. Multiple Object Tracking – Results OUR tracker BPF tracker MCMC tracker VTD tracker Xu Yan Quantitative Imaging Laboratory

  9. Contribution and future work • Conclusion • The experimental results demonstrate that the proposed method enables tracking of pedestrians in complex scenes with occlusions and varying interaction behaviors. • Future work • Incorporate online updating observation model • More robust data association model • Paper • Xu Yan, IoannisKakadiaris and Shishir Shah. Predicting Social Interactions for Visual Tracking. In Jesse Hoey, Stephen McKenna and EmanueleTrucco, Proceedings of the British Machine Vision Conference, pages 102.1-102.11. BMVA Press, September 2011. Xu Yan Quantitative Imaging Laboratory

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