Beyond local search: Tracking objects everywhere with instance-specific proposals

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

Volumn 2016-December, Issue , 2016, Pages 943-951

  Zhu, Gao ^a   Porikli, Fatih ^a,b,c   Li, Hongdong ^a,c  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^b CSIRO   (Australia)

^c AUSTRALIAN CENTRE FOR ROBOTIC VISION   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; LOCAL SEARCH (OPTIMIZATION); PATTERN RECOGNITION; QUALITY CONTROL;

BACKGROUND CLUTTER; COMPUTATIONAL CAPACITY; FALSE POSITIVE; OBJECT DESCRIPTORS; OBJECT LOCATION; TRACKING BY DETECTIONS; TRACKING OBJECTS; TRACKING PROCESS;

OBJECT DETECTION;

EID: 84986317433     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2016.108     Document Type: Conference Paper

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