The research and application of visual saliency and adaptive support vector machine in target tracking field

Computational and Mathematical Methods in Medicine

Volumn 2013, Issue , 2013, Pages

  Chen, Yuantao ^a,b   Xu, Weihong ^a,b   Kuang, Fangjun ^a,c   Gao, Shangbing ^a  

^a NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c Hunan Vocational Institute of Safety and Technology   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLUTTER (INFORMATION THEORY); INTELLIGENT ROBOTS; OBJECT TRACKING; SUPPORT VECTOR MACHINES; VISUALIZATION;

ADAPTIVE SUPPORT; COMPLEX BACKGROUND; ENVIRONMENTAL UNCERTAINTY; EXECUTION PROCESS; ILLUMINATION CHANGES; RESEARCH AND APPLICATION; TARGET TRACKING ALGORITHM; VIDEO SEQUENCES;

TARGET TRACKING;

ACCURACY; ADAPTIVE SUPPORT VECTOR MACHINE; ARTICLE; BRIGHTNESS; COLOR; ILLUMINATION; IMAGE ANALYSIS; LEARNING ALGORITHM; MACHINE LEARNING; RELIABILITY; SUPPORT VECTOR MACHINE; TARGET TRACKING; VIDEORECORDING; VISUAL SALIENCY; ALGORITHM; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER PROGRAM; HUMAN; IMAGE ENHANCEMENT; MOTION; THEORETICAL MODEL;

ALGORITHMS; COLOR; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, THEORETICAL; MOTION; PATTERN RECOGNITION, AUTOMATED; SOFTWARE; SUPPORT VECTOR MACHINES; VIDEO RECORDING;

EID: 84893797190     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1155/2013/925341     Document Type: Article

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