Detection and tracking based tubelet generation for video object detection

doi:10.1016/j.jvcir.2018.11.014

	Detection and tracking based tubelet generation for video object detection
	Wang, Bin 1,2; Tang, Sheng 1; Xiao, Jun-Bin 1,2; Yan, Quan-Feng 3; Zhang, Yong-Dong 1
	2019
发表期刊	JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
ISSN	1047-3203
卷号	58 页码:102-111
摘要	Video object detection (VID) is a more challenging task compared with still-image object detection, which not only needs to detect objects accurately per frame but also needs to track objects for a long period of time. In order to detect objects from videos, we propose a Detection And Tracking (DAT) based tubelet generation framework. Under this framework, we first propose a detection-based tubelet generation method which can generate tubelets with more accurate bounding boxes compared with traditional tracking-based methods. On the other hand, the latter can produce a higher recall of bounding boxes than the former in general. To take advantage of their complementary attributes, we further propose a novel tubelet fusion method to combine these multi-modal information (appearance information in independent images and contextual information in videos). Our extensive experiments on the well-known ILSVRC 2016 VID dataset show that our proposed method can achieve state-of-the-art performances. (C) 2018 Elsevier Inc. All rights reserved.
关键词	Object detection Tubelet generation Tubelet fusion
DOI	10.1016/j.jvcir.2018.11.014
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2017YFB1002202] ; National Natural Science Foundation of China[61572472] ; National Natural Science Foundation of China[61525206] ; National Natural Science Foundation of China[U1703261] ; National Natural Science Foundation of China[61571424]
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering
WOS记录号	WOS:000457668100011
出版者	ACADEMIC PRESS INC ELSEVIER SCIENCE
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/3457
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Tang, Sheng
作者单位	1.Chinese Acad Sci, Key Lab Intelligent Informat Proc, Inst Comp Technol, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Hunan Inst Sci & Technol, Coll Comp Sci, Yueyang 414006, Hunan, Peoples R China
推荐引用方式 GB/T 7714	Wang, Bin,Tang, Sheng,Xiao, Jun-Bin,et al. Detection and tracking based tubelet generation for video object detection[J]. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,2019,58:102-111.
APA	Wang, Bin,Tang, Sheng,Xiao, Jun-Bin,Yan, Quan-Feng,&Zhang, Yong-Dong.(2019).Detection and tracking based tubelet generation for video object detection.JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,58,102-111.
MLA	Wang, Bin,et al."Detection and tracking based tubelet generation for video object detection".JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION 58(2019):102-111.