Vision system for tracking handball players using fuzzy color processing
The sports community needs technological aid to extract accurate statistics and performance data from both practice sessions and games. To obtain such information, players must be tracked over time and their movements processed so that individual actions and team plays are simultaneously analyzed. I...
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| Veröffentlicht in: | Machine vision and applications 2013-07, Vol.24 (5), p.1055-1074 |
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| container_title | Machine vision and applications |
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| creator | Santiago, Catarina B. Sousa, Armando Reis, Luis Paulo |
| description | The sports community needs technological aid to extract accurate statistics and performance data from both practice sessions and games. To obtain such information, players must be tracked over time and their movements processed so that individual actions and team plays are simultaneously analyzed. In order to perform this analysis in an automated, formal and accurate way, the authors developed a cost conscientious processing system fed by two overhead cameras (roughly one video stream for each half-field). Players are detected by vest colors, and Fuzzy Logic is used to allow for a given color to be shared by different teams. Color models for the background and the teams are dynamic over time to make up for changes in natural lighting conditions and consequent color changes. Player tracking is further enhanced using Kalman Filtering. Some examples of the analysis, made possible by the proposed system, are shown. Results are based on videos collected during the Portuguese Handball SuperCup competition for the year 2011. |
| doi_str_mv | 10.1007/s00138-012-0471-z |
| format | Article |
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To obtain such information, players must be tracked over time and their movements processed so that individual actions and team plays are simultaneously analyzed. In order to perform this analysis in an automated, formal and accurate way, the authors developed a cost conscientious processing system fed by two overhead cameras (roughly one video stream for each half-field). Players are detected by vest colors, and Fuzzy Logic is used to allow for a given color to be shared by different teams. Color models for the background and the teams are dynamic over time to make up for changes in natural lighting conditions and consequent color changes. Player tracking is further enhanced using Kalman Filtering. Some examples of the analysis, made possible by the proposed system, are shown. Results are based on videos collected during the Portuguese Handball SuperCup competition for the year 2011.</description><identifier>ISSN: 0932-8092</identifier><identifier>EISSN: 1432-1769</identifier><identifier>DOI: 10.1007/s00138-012-0471-z</identifier><identifier>CODEN: MVAPEO</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer-Verlag</publisher><subject>Applied sciences ; Artificial intelligence ; Color ; Communications Engineering ; Computer Science ; Computer science; control theory; systems ; Cost analysis ; Dynamical systems ; Dynamics ; Exact sciences and technology ; Fuzzy ; Fuzzy logic ; Fuzzy systems ; Handball ; Image Processing and Computer Vision ; Kalman filters ; Natural lighting ; Networks ; Original Paper ; Pattern Recognition ; Pattern recognition. Digital image processing. 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To obtain such information, players must be tracked over time and their movements processed so that individual actions and team plays are simultaneously analyzed. In order to perform this analysis in an automated, formal and accurate way, the authors developed a cost conscientious processing system fed by two overhead cameras (roughly one video stream for each half-field). Players are detected by vest colors, and Fuzzy Logic is used to allow for a given color to be shared by different teams. Color models for the background and the teams are dynamic over time to make up for changes in natural lighting conditions and consequent color changes. Player tracking is further enhanced using Kalman Filtering. Some examples of the analysis, made possible by the proposed system, are shown. Results are based on videos collected during the Portuguese Handball SuperCup competition for the year 2011.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Color</subject><subject>Communications Engineering</subject><subject>Computer Science</subject><subject>Computer science; control theory; systems</subject><subject>Cost analysis</subject><subject>Dynamical systems</subject><subject>Dynamics</subject><subject>Exact sciences and technology</subject><subject>Fuzzy</subject><subject>Fuzzy logic</subject><subject>Fuzzy systems</subject><subject>Handball</subject><subject>Image Processing and Computer Vision</subject><subject>Kalman filters</subject><subject>Natural lighting</subject><subject>Networks</subject><subject>Original Paper</subject><subject>Pattern Recognition</subject><subject>Pattern recognition. Digital image processing. 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| subjects | Applied sciences Artificial intelligence Color Communications Engineering Computer Science Computer science control theory systems Cost analysis Dynamical systems Dynamics Exact sciences and technology Fuzzy Fuzzy logic Fuzzy systems Handball Image Processing and Computer Vision Kalman filters Natural lighting Networks Original Paper Pattern Recognition Pattern recognition. Digital image processing. Computational geometry Players Tracking Video data Vision systems |
| title | Vision system for tracking handball players using fuzzy color processing |
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