2016
DOI: 10.1109/tcsvt.2015.2406231
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Severely Blurred Object Tracking by Learning Deep Image Representations

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Cited by 33 publications
(31 citation statements)
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“…The motivation is intuitive: in the scenarios of shot changes or scene cuts, the temporal coherence (from previous frame) becomes weaker and the tracker needs to assign more weight to the most adjacent (or neighboring) frame to better capture the instantaneous information. The second modification is to incorporate a shot change detector (e.g., [76], [77]) into our K(MF) 2 JMT, such that the system can automatically detect the shot changes. Once a shot change is confirmed, the system needs to re-detect or re-identify the location of the target.…”
Section: Appendix Amentioning
confidence: 99%
See 1 more Smart Citation
“…The motivation is intuitive: in the scenarios of shot changes or scene cuts, the temporal coherence (from previous frame) becomes weaker and the tracker needs to assign more weight to the most adjacent (or neighboring) frame to better capture the instantaneous information. The second modification is to incorporate a shot change detector (e.g., [76], [77]) into our K(MF) 2 JMT, such that the system can automatically detect the shot changes. Once a shot change is confirmed, the system needs to re-detect or re-identify the location of the target.…”
Section: Appendix Amentioning
confidence: 99%
“…V ISUAL tracking is one of the most important components in computer vision system. It has been widely used in visual surveillance, human computer interaction, and robotics [1], [2]. Given an annotation of the object (bounding box) in the first frame, the task of visual tracking is to estimate the target locations and scales in subsequent video frames.…”
Section: Introductionmentioning
confidence: 99%
“…In this study [22], the authors introduced an activity classification system based on activity class through random forests (RFs) classifier. Moreover, in [23], the authors discussed a human-centered perspective to develop an intelligent vehicle.…”
Section: Related Workmentioning
confidence: 99%
“…Traffic flow prediction and deep learning approach is been proposed in [52]. Object tracking in blurred videos using blurred videos and deep image representations is proposed by Jianwei Ding et al [53]. Adaptively learn representation that is more effective for the task of vehicle color recognition using spatial pyramid deep learning is given by Chuanping Hu et al [54].…”
Section: Related Workmentioning
confidence: 99%