Object Detection and Tracking for Night Surveillance based on Salient Contrast Analysis

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	Object Detection and Tracking for Night Surveillance based on Salient Contrast Analysis
	Liangsheng Wang; Kaiqi Huang; Yongzhen Huang; Tieniu Tan
	2009
会议名称	International Conference on Image Processing
会议录名称	IEEE International Conference on Image Processing, 2009
页码	1113-1116
会议日期	2009
会议地点	Cairo, Egypt
摘要	Night surveillance is a challenging task because of low brightness, low contrast, low signal to noise ratio (SNR) and low appearance information. Most existing models for night surveillance share the following problems: a lack of adaptability for different scenes and separation between detection and tracking. To solve these problems we propose a model based on salient contrast change (SCC) feature, which applies learning process to enhance adaptability and analyzes trajectories to improve the effectiveness of detection. Empirical studies on several real night videos show that the proposed model is more effective than the original CC model and other traditional models.
关键词	Object Detection target Tracking video Signal Processing
语种	英语
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/12702
专题	智能感知与计算研究中心
通讯作者	Kaiqi Huang
作者单位	中国科学院自动化研究所
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Liangsheng Wang,Kaiqi Huang,Yongzhen Huang,et al. Object Detection and Tracking for Night Surveillance based on Salient Contrast Analysis[C],2009:1113-1116.