FPGA-GPU architecture for Kernel SVM pedestrian detection

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010

Volumn , Issue , 2010, Pages 61-68

  Bauer, Sebastian ^a   Köhler, Sebastian ^b   Doll, Konrad ^c   Brunsmann, Ulrich ^b  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^b Laboratory for Pattern Recognition and Computational Intelligence   (Germany)

^c UNIVERSITY OF APPLIED SCIENCES ASCHAFFENBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

A-FRAMES; BENCHMARK DATABASE; CLASSIFICATION PERFORMANCE; DESCRIPTORS; EMBEDDED FPGA; ENTIRE SYSTEM; EXPERIMENTAL STUDIES; GAUSSIAN KERNEL SUPPORT VECTOR MACHINES; GPU ARCHITECTURES; GRAPHICS CARD; HARDWARE ARCHITECTURE; HYPOTHESIS GENERATION; MULTI CORE; MULTI SENSOR; MULTI-SPECTRAL; PC HARDWARE; PEDESTRIAN DETECTION; PROCESSING NETWORK; REAL TIME PERFORMANCE; REAL-WORLD;

COMPUTER GRAPHICS; COMPUTER HARDWARE; COMPUTER VISION; FEATURE EXTRACTION; NETWORK ARCHITECTURE; SENSORS; TECHNICAL PRESENTATIONS;

SENSOR DATA FUSION;

EID: 77956509030     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2010.5543772     Document Type: Conference Paper

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