Automatically determining dominant motions in crowded scenes by clustering partial feature trajectories

2007 1st ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC

Volumn , Issue , 2007, Pages 52-58

  Cheriyadat, Anil M ^a   Radke, Richard J ^a  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

Clustering; Crowd motion trajectories; Longest common subsequence

Indexed keywords

IMAGING TECHNIQUES; OPTICAL FLOWS; PHOTOGRAPHY; TRAJECTORIES; VIDEO RECORDING;

AUTOMATIC ALGORITHMS; CAMERA NETWORKS; DISTANCE MEASURES; DISTRIBUTED SMART CAMERAS; FEATURE POINTS; INDIVIDUAL OBJECTS; INTERNATIONAL CONFERENCES; LONGEST COMMON SUBSEQUENCES (LCS); LOW-LEVEL FEATURES; OPTICAL (PET) (OPET); REAL VIDEO SEQUENCES; SCENE ANALYSIS;

CAMERAS;

EID: 47349120986     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDSC.2007.4357505     Document Type: Conference Paper

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