Hybrid framework for evaluating video object tracking algorithms

Electronics Letters

Volumn 46, Issue 6, 2010, Pages 411-412

  Carvalho, P ^a   Cardoso, J S ^a   Corte Real, L ^a  

^a UNIVERSITY OF PORTO   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

EVALUATING ALGORITHMS; EVALUATION METRICS; HYBRID FRAMEWORK; RESEARCH COMMUNITIES; TRACKING OBJECTS; VIDEO OBJECT TRACKING; VIDEO SEQUENCES;

VIDEO RECORDING;

EID: 77949742746     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el.2010.3165     Document Type: Article

References (7)

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2. Cavallaro, A., and Ziliani, F.: ' Characterisation of tracking performance ', Proc. Workshop on Image Analysis For Multimedia Interactive Services (WIAMIS), Montreux, Switzerland, 2005
3. Black, J., Ellis, T., and Rosin, P.: ' A novel method for video tracking performance evaluation ', Joint IEEE Int. Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VSPETS), Nice, France, 2003, p. 125-132
4. Correia, P.L., and Pereira, F.M.: ' Objective evaluation of video segmentation quality ', IEEE Trans. Image Process., 2003, 12, (2), p. 186-200 10.1109/TIP.2002.807355 1057-7149
5. Erdem, C.E., Sankur, B., and Tekalp, A.M.: ' Performance measures for video object segmentation and tracking ', IEEE Trans. Image Process., 2004, 13, (7), p. 937-951 10.1109/TIP.2004.828427 1057-7149
6. Bashir, F., and Porikli, F.: ' Performance evaluation of object detection and tracking systems ', Proc. IEEE Int. Workshop on Performance Evaluation of Tracking and Surveillance (PETS), New York, USA, 2006, p. 7-14
7. Cardoso, J.S., and Corte-Real, L.: ' Toward a generic evaluation of image segmentation ', IEEE Trans. Image Process., 2005, 14, (11), p. 1773-1782 10.1109/TIP.2005.854491 1057-7149