A hybrid object detection technique from dynamic background using Gaussian mixture models

Proceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008

Volumn , Issue , 2008, Pages 915-920

  Haque, Mahfuzul ^a   Murshed, Manzur ^a   Paul, Manoranjan ^a  

^a MONASH UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTER VISION; IMAGE SEGMENTATION; SIGNAL PROCESSING; TECHNICAL PRESENTATIONS; TRELLIS CODES;

ADAPTIVE TECHNIQUES; BACKGROUND MODELS; BACKGROUND SUBTRACTIONS; BENCHMARK DATASETS; COMPARATIVE ANALYSIS; DYNAMIC BACKGROUNDS; ELIMINATING NOISES; GAUSSIAN MIXTURE MODELS; MACHINE VISIONS; MULTIMODAL BACKGROUNDS; NEIGHBOURHOOD; OBJECT DETECTIONS; OPERATING SPEEDS; REAL APPLICATIONS;

OBJECT RECOGNITION;

EID: 58049097051     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MMSP.2008.4665205     Document Type: Conference Paper

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