Multi-Camera Occlusion and Sudden-Appearance-Change Detection Using Hidden Markovian Chains

2016/10/29 by Xudong Ma, Ma, Xudong
Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences

paper · pdf · doi:10.48550/arxiv.1610.09520

openalex publication_date 2016/10/29 · openalex created_date 2022/12/21 · openalex updated_date 2026/07/28

Abstract

This paper was originally submitted to Xinova as a response to a Request for Invention (RFI) on new event monitoring methods. In this paper, a new object tracking algorithm using multiple cameras for surveillance applications is proposed. The proposed system can detect sudden-appearance-changes and occlusions using a hidden Markovian statistical model. The experimental results confirm that our system detect the sudden-appearance changes and occlusions reliably.

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