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	Action and Gesture Temporal Spotting with Super Vector Representation
	Xiaojiang Peng; Limin Wang; Zhuowei Cai; Yu Qiao
	2014
会议名称	13th European Conference on Computer Vision (ECCV)
会议地点	瑞士
英文摘要	This paper focuses on describing our method designed for both track 2 and track 3 at Looking at People (LAP) challenging [1]. We propose an action and gesture spotting system, which is mainly com- posed of three steps: (i) temporal segmentation, (ii) clip classification, and (iii) post processing. For track 2, we resort to a simple sliding win- dow method to divide each video sequence into clips, while for track 3, we design a segmentation method based on the motion analysis of human hands. Then, for each clip, we choose a kind of super vector representa- tion with dense features. Based on this representation, we train a linear SVM to conduct action and gesture recognition. Finally, we use some post processing techniques to void the detection of false positives. We demonstrate the effectiveness of our proposed method by participating the contests of both track 2 and track 3. We obtain the best performance on track 2 and rank 4 th on track 3, which indicates that the designed system is effective for action and gesture recognition.
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/172644/5495]
专题	深圳先进技术研究院_集成所
作者单位	2014
推荐引用方式 GB/T 7714	Xiaojiang Peng,Limin Wang,Zhuowei Cai,et al. Action and Gesture Temporal Spotting with Super Vector Representation[C]. 见:13th European Conference on Computer Vision (ECCV). 瑞士.

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