Robust Visual Tracking with Occlusion Handling Using Gaussian Mixture Modeling

Kamlesh Verma; Debashis Ghosh; Himanshu Singh; Sandeep Bisht; Zahir Ahmed Ansari; Rajeev Marathe; Avnish Kumar

doi:10.1007/978-981-15-9259-1_75

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Robust Visual Tracking with Occlusion Handling Using Gaussian Mixture Modeling

Kamlesh Verma Debashis Ghosh Himanshu Singh Sandeep Bisht Zahir Ahmed Ansari Rajeev Marathe Avnish Kumar

Year: 2021 Springer proceedings in physics Pages: 333-336 Publisher: Springer Nature

DOI: 10.1007/978-981-15-9259-1_75

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Keywords:

Artificial intelligence Mixture model Computer vision Background subtraction Robustness (evolution) Computer science Kalman filter Cluster analysis Frame (networking) Tracking (education) Robot Pattern recognition (psychology) Pixel

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Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Fire Detection and Safety Systems

Physical Sciences → Engineering → Safety, Risk, Reliability and Quality

Robust Visual Tracking with Occlusion Handling Using Gaussian Mixture Modeling

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