An approach to trajectory estimation of moving objects in the H.264 compressed domain

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

Volumn 5414 LNCS, Issue , 2009, Pages 318-329

  Käs, Christian ^a   Nicolas, Henri ^a  

^a UNIVERSITÉ DE BORDEAUX   (France)

Author keywords

H.264 AVC SVC compressed domain; Scene Analysis; Trajectory estimation

Indexed keywords

ESTIMATION; MOTION ESTIMATION; MOTION PICTURE EXPERTS GROUP STANDARDS; SUPPORT VECTOR MACHINES;

FAST METHODS; GLOBAL MOTION ESTIMATIONS; H.264-AVC/SVC COMPRESSED DOMAIN; H.264/AVC; MOTION SEGMENTATIONS; MOTION VECTORS; MOVING OBJECTS; MOVING REGIONS; MULTIPLE MOVING OBJECTS; REAL-TIME ANALYSIS; ROBUST FRAMES; SCENE ANALYSIS; STANDARD HARDWARES; TRAJECTORY ESTIMATION; VIDEO SCENES; VIDEO STREAMS;

TRAJECTORIES;

EID: 60149103334     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-92957-4_28     Document Type: Conference Paper

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