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In this paper, a novel method based on Phase Spectrum of Quaternion Fourier Transform (PQFT) for anomaly detection in crowd is presented. The proposed method mainly consists of two parts: quaternion feature representation and construct of abnormal saliency map. In the first stage, motion and appearance information are both considered and a quaternion feature representation is proposed for temporal...
In this paper, a novel global abnormal event detection algorithm is proposed for multiple disjoint synchronous camera network. We treat detecting unusual global events as discovering context-incoherent patterns through learning temporal dependencies between distributed local activities observed within and across camera views. Trajectories are firstly extracted using mean-shift approach in each camera...
Crowd control and management is a very important task in public places. Historically, many crowd disasters happened because of the loss of control of the crowd flow direction. This paper presents an intelligent surveillance system based on RANSAC (Random Sample Consensus) algorithm, which can estimate the crowd flow direction and classify people into different crowd groups. We calculate the optical...
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