Multiclass and multiview object detection approach based on sparse biological vision features

Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering

Volumn 41, Issue 1, 2012, Pages 267-272

  Yang, Yawei ^a   Li, Junshan ^a   Yang, Wei ^b   Zhao, Fangzhou ^a  

^a ROCKET FORCE UNIVERSITY OF ENGINEERING   (China)

^b The Second Artillery Commanding University   (China)

Author keywords

Biological vision; Object detection; Sliding window; Sparse features

Indexed keywords

BIOLOGICAL VISIONS; DETECTION TASKS; MULTI-CLASS; MULTI-VIEWS; OBJECT CLASSIFICATION; OBJECT DETECTION; OBJECT DETECTORS; ROBUST PERFORMANCE; SLIDING WINDOW; SPARSE FEATURES; SUPPRESSION ALGORITHM; THE STANDARD MODEL;

AEROSPACE ENGINEERING; ELECTRICAL ENGINEERING;

OBJECT RECOGNITION;

EID: 84863275723     PISSN: 10072276     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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