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Multi-Informational Auto Tracking Algorithm

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In this study we propose an algorithm to improve functionality of PTZ cameras to capture information of many targets in the scene. The algorithm partitions the scene into a 10×10-unit page to detect the situation of a system and then considers three states in which the system selects proper movement or zooming to continue auto tracking on many targets. In this algorithm, all movements and zooms of PTZ camera are based on two rules to keep the system in a safe state–not to lose the information of targets and to capture information in details.
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Keywords: Auto Tracking; Motions Detection; Multi Target Tracking; PTZ Camera; Safe Sate

Document Type: Research Article

Affiliations: 1: College of Engineering and Computer Studies, Lyceum of the Philippines University-Laguna (LPU-Laguna), Philippines 2: Institute of Computer Science, University of the Philippines-Los Baños (UP LB), Philippines 3: Institute of Mathematical Sciences and Physics, University of the Philippines-Los Baños (UP LB), Philippines 4: School of Science and Technology, RMIT University, 702 Nguyen Van Linh, HCMC, Vietnam

Publication date: November 1, 2017

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