Learning Multi-domain Convolutional Neural Networks for Visual Tracking

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 2016-December, Issue , 2016, Pages 4293-4302

  Nam, Hyeonseob ^a   Han, Bohyung ^a  

^a Pohang University of Science and Technology (POSTECH)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; BINS; COMPUTER VISION; CONVOLUTION; ITERATIVE METHODS; NEURAL NETWORKS; PATTERN RECOGNITION; TRACKING (POSITION);

BINARY CLASSIFICATION; CONVOLUTIONAL NEURAL NETWORK; DOMAIN SPECIFIC; ON-LINE TRACKING; TARGET REPRESENTATION; TRAINING SEQUENCES; VISUAL TRACKING; VISUAL TRACKING ALGORITHM;

TARGET TRACKING;

EID: 84986296977     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2016.465     Document Type: Conference Paper

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