Detecting and tracking body parts of multiple people

IEEE International Conference on Image Processing

Volumn 1, Issue , 2001, Pages 405-408

  Polat, E ^a   Yeasin, M ^a   Sharma, R ^a  

^a The Pennsylvania State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COLOR IMAGE PROCESSING; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; FACE RECOGNITION; IMAGE SEGMENTATION; PROBABILITY DENSITY FUNCTION;

HANDS RECOGNITION; MULTIPLE HYPOTHESIS TRACKING; PATH COHERENCE FUNCTION;

FEATURE EXTRACTION;

EID: 0035163897     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Hydra: Multiple people detection and tracking using silhouettes
2. Pfinder: Real time tracking of human body
3. Improved tracking of multiple humans with trajectory prediction and occlusion modelling
4. An algorithm for tracking multiple targets
5. An efficient implementation of Reid's multiple hypothesis tracking algorithm and its evaluation for the purpose of visual tracking
6. Issues in the design of practical multitarget tracking algorithms
7. A multiple hypothesis approach to figure tracking
8. Finding trajectories of feature points in monocular image sequences