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Article
Correction to: the Video Spatial Error Concealment Algorithm Using Separately-Directional Interpolation Technique
I am the author of this paper published in Journal of Signal processing Systems.
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Chapter and Conference Paper
The Sixth Visual Object Tracking VOT2018 Challenge Results
The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers...
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Chapter and Conference Paper
Revisiting RCNN: On Awakening the Classification Power of Faster RCNN
Recent region-based object detectors are usually built with separate classification and localization branches on top of shared feature extraction networks. In this paper, we analyze failure cases of state-of-t...
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Chapter and Conference Paper
Pattern Visualization and Recognition Using Tensor Factorization for Early Differential Diagnosis of Parkinsonism
Idiopathic Parkinsons disease (PD) and atypical parkinsonian syndromes may have similar symptoms at the early disease stage. Pattern recognition on metabolic imaging has been confirmed of distinct value in the...
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Chapter and Conference Paper
The Visual Object Tracking VOT2014 Challenge Results
The Visual Object Tracking challenge 2014, VOT2014, aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 38 trackers are presented. T...
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Article
Open AccessError concealment algorithm using inter-view correlation for multi-view video
This paper proposes an error concealment algorithm for whole frame loss for multi-view video decoding. In our proposal, the relationship between motion vectors and disparity vectors is exploited first. Based o...
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Chapter and Conference Paper
Human Daily Action Analysis with Multi-view and Color-Depth Data
Improving human action recognition in videos is restricted by the inherent limitations of the visual data. In this paper, we take the depth information into consideration and construct a novel dataset of human...
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Chapter and Conference Paper
Inter-camera Association of Multi-target Tracks by On-Line Learned Appearance Affinity Models
We propose a novel system for associating multi-target tracks across multiple non-overlap** cameras by an on-line learned discriminative appearance affinity model. Collecting reliable training samples is a m...