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The effect of object features on multiple object tracking and identification
Liu, Tianwei; Chen, Wenfeng; Xuan, Yuming; Fu, Xiaolan; Liu, T. (liutian_wei@163.com)
2009
Conference Name8th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2009
Source PublicationLecture Notes in Artificial Intelligence
Issue5639
Pages206-212
Conference DateJuly 19, 2009 - July 24, 2009
Conference PlaceSan Diego, CA, United states
Publication PlaceTiergartenstrasse 17, Heidelberg, D-69121, Germany
PublisherSpringer Verlag
AbstractTracking of multiple objects is challenging for computer vision system under certain circumstance. We investigated this problem with human observers. In our experiment, observers were asked to track multiple moving items as well as to maintain their identities. We found that the capacity of maintaining multiple moving object identities of human is about three to four items, and uniqueness improves the general tracking and ID performance. It also showed that observers' capacity of ID task was dependent on feature type, and suggests that a less resource-demanding process of identity-related feature would lead to more effective improvement on tracking. These results provide some indications for the design of computer vision system which involves human monitoring, and suggest that creating a featural space to map the identity of multiple objects may aid the automatic object tracking. © 2009 Springer Berlin Heidelberg.
Subject Area工业与组织心理学
DOI10.1007/978-3-642-02728-4_22
Indexed ByEI
Language英语
WOS IDWOS:000271455000022
Citation statistics
Document Type会议论文
Identifierhttp://ir.psych.ac.cn/handle/311026/20713
Collection脑与认知科学国家重点实验室
Corresponding AuthorLiu, T. (liutian_wei@163.com)
Affiliation1.State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
2.Graduate University, Chinese Academy of Sciences, Beijing 100049, China
Recommended Citation
GB/T 7714
Liu, Tianwei,Chen, Wenfeng,Xuan, Yuming,et al. The effect of object features on multiple object tracking and identification[C]. Tiergartenstrasse 17, Heidelberg, D-69121, Germany:Springer Verlag,2009:206-212.
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