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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/44086

Title: Handheld Object Detection and its Related Event Analysis Using Ratio Histogram and Mixture of HMMs
Authors: Jun-Wei Hsieh
Jiun-Chen Cheng
Li-Chih Chen
Chi-Hung Chuang
Duan-Yu Chen
Contributors: 國立臺灣海洋大學:資訊工程學系
NTOU:Department of Computer Science and Engineering
Keywords: Behavior analysis
Interaction event
Ratio histogram
Hand-held object detection
Smoking event detection
Event multiplicity
Code book
Date: 2014-08
Issue Date: 2017-11-14T07:55:40Z
Publisher: Journal of Visual Communication and Image Representation
Abstract: Abstract:This paper proposes a novel system to analyze human-object interaction events happening between hands and faces in real time. Two challenging problems in this event analysis must be addressed, i.e., there is no prior knowledge (like shape, color, size, and texture) about the handheld objects, and there are large spatial–temporal variations in event representation. For the first challenge, a novel ratio histogram is proposed to find important color bins to locate handheld objects and their trajectories via a code book technique. This scheme is different from other boosted methods which require very time-consuming estimations to search reliable body configurations. For the second challenge, a mixture of HMMs is proposed to describe an event not only from its dynamic context but also its multiplicity context. It can be performed in real time because an exhaustive search process is avoided to find possible interaction pairs between objects and body parts.
Relation: 25(6), pp.1399-1415
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/44086
Appears in Collections:[資訊工程學系] 期刊論文

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