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	Temporal and Spatial Anomaly Detection Using Phase Spectrum of Quaternion Fourier Transform
	huan wang; Huiwen Guo; Xinyu Wu
	2015
会议名称	IEEE International Conference on Information and Automation
会议地点	Lijiang
英文摘要	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 and spatial anomaly detection simultaneously. In the second stage, QFT is first used for quaternion frames, and then normalize the amplitude spectrum. After that, the final abnormal saliency map is reconstructed with inverse QFT. Experiments on benchmark have proved that the proposed method detects abnormal events effectively and robustly and meets the real-time requirements.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/6771]
专题	深圳先进技术研究院_集成所
作者单位	2015
推荐引用方式 GB/T 7714	huan wang,Huiwen Guo,Xinyu Wu. Temporal and Spatial Anomaly Detection Using Phase Spectrum of Quaternion Fourier Transform[C]. 见:IEEE International Conference on Information and Automation. Lijiang.

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