Performance evaluation metrics and statistics for positional tracker evaluation

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

Volumn 2626, Issue , 2003, Pages 278-289

  Needham, Chris J ^a   Boyle, Roger D ^a  

^a UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; PETROLEUM RESERVOIR EVALUATION; SPORTS;

BENCHMARK DATA; KEY FEATURE; PERFORMANCE EVALUATION METRICS; REAL TRAJECTORIES; SOCCER GAMES; TARGET OBJECT; TRACKER PERFORMANCE; VISION TRACKING SYSTEMS;

TARGET TRACKING;

EID: 84886635386     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36592-3_27     Document Type: Conference Paper

References (6)

1. T. J. Ellis. Performance metrics and methods for tracking in surveillance. In 3rd IEEE Workshop on Performance Evaluation of Tracking and Surveillance, Copenhagen, Denmark, 2002.
2. M. Harville. Stereo person tracking with adaptive plan-view statistical templates. In Proc. ECCV Workshop on Statistical Methods in Video Processing, pages 67-72, Copenhagen, Denmark, 2002.
3. D. R. Magee. Tracking multiple vehicles using foreground, background and motion models. In Proc. ECCV Workshop on Statistical Methods in Video Processing, pages 7-12, Copenhagen, Denmark, 2002.
4. C. J. Needham and R. D. Boyle. Tracking multiple sports players through occlusion, congestion and scale. In Proc. British Machine Vision Conference, pages 93-102, Manchester, UK, 2001.
5. IEEE Workshop on Performance Evaluation of Tracking and Surveillance. http://visualsurveillance.org/PETS2000 Last accessed: 18/10/02.
6. H. Sakoe and S. Chiba. Dynamic Programming optimization for spoken word recognition. IEEE Trans. Acoustics, Speech and Signal Processing, 26(1): 43-49, 1978.