High-level fusion of depth and intensity for pedestrian classification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5748 LNCS, Issue , 2009, Pages 101-110

  Rohrbach, Marcus ^a,c   Enzweiler, Markus ^b   Gavrila, Dariu M ^a,d  

^a DAIMLER AG   (Germany)

^b UNIVERSITY OF HEIDELBERG   (Germany)

^c DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

^d UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; DEPTH INFORMATION; DETECTION RATES; DISCRIMINATIVE MODELS; FALSE POSITIVE; FEATURE SPACE; GRADIENT ORIENTATIONS; INTENSITY IMAGES; LEVEL FUSION; LOW-LEVEL FUSION; PERFORMANCE IMPROVEMENTS; PRE-PROCESSING STEP; REAL-WORLD; RECEPTIVE FIELDS; SPATIAL FEATURES;

IMAGE PROCESSING;

FEATURE EXTRACTION;

EID: 70350513692     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-03798-6_11     Document Type: Conference Paper

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