Multi-Target Tracking Using Hierarchical Convolutional Features and Motion Cues
نویسندگان
چکیده
منابع مشابه
Multi-Target Tracking Using Hierarchical Convolutional Features and Motion Cues
In this paper, the problem of multi-target tracking with single camera in complex scenes is addressed. A new approach is proposed for multi-target tracking problem that learns from hierarchy of convolution features. First fast Region-based Convolutional Neutral Networks is trained to detect pedestrian in each frame. Then cooperate it with correlation filter tracker which learns target’s appeara...
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Visual tracking is challenging as target objects often undergo significant appearance changes caused by deformation, abrupt motion, background clutter and occlusion. In this paper, we propose to exploit the rich hierarchical features of deep convolutional neural networks to improve the accuracy and robustness of visual tracking. Deep neural networks trained on object recognition datasets consis...
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متن کاملHierarchical Convolutional Features for Visual Tracking Supplementary Document
DLT [8] http://winsty.net/dlt.html CSK [5] http://home.isr.uc.pt/ ̃henriques/circulant/ STC [12] http://www4.comp.polyu.edu.hk/ ̃cslzhang/STC/STC.htm KCF [6] http://home.isr.uc.pt/ ̃henriques/circulant/ MIL [1] http://vision.ucsd.edu/project/tracking-online-multiple-instance-learning Struck [3] http://www.samhare.net/research/struck CT [13] http://www4.comp.polyu.edu.hk/ ̃cslzhang/CT/CT.htm LSHT [4...
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ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2017
ISSN: 2156-5570,2158-107X
DOI: 10.14569/ijacsa.2017.081129