S. Intille and A. Bobick. Recognizing planned multi-person action. In Jour. of Computer Vision and Image Understanding, vol. 3, pages 414-445, March 2001. Home/Search Document Details and Download
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Automatic Soccer Video Analysis and Summarization - Ekin, Tekalp, Mehrotra (25 citations) (Correct)
....good trade o# between the computational requirements and the resulting semantics. In the literature, object color and texture features are employed to generate highlights [3] and to parse TV soccer programs [4] Object motion trajectories and interactions are used for football play classification [5] and for soccer event detection [6] Both [5] and [6] however, rely on pre extracted accurate object trajectories, which were obtained manually in [5] hence, they are not practical for real time applications. LucentVision [7] and ESPN K Zone [8] track only specific objects for tennis and ....
....and the resulting semantics. In the literature, object color and texture features are employed to generate highlights [3] and to parse TV soccer programs [4] Object motion trajectories and interactions are used for football play classification [5] and for soccer event detection [6] Both [5] and [6] however, rely on pre extracted accurate object trajectories, which were obtained manually in [5] hence, they are not practical for real time applications. LucentVision [7] and ESPN K Zone [8] track only specific objects for tennis and baseball, respectively. The former analyzes ....
[Article contains additional citation context not shown here]
S. Intille and A. Bobick, "Recognizing planned, multi-person action," Computer Vision and Image Understanding, vol. 81, no. 3, pp. 414-445, March 2001.
Automatic Soccer Video Analysis and Summarization - Ekin, Tekalp, Mehrotra (25 citations) (Correct)
....good trade offbetween the computational requirements and the resulting semantics. In the literature, object color and texture features are employed to generate highlights [3] and to parse TV soccer programs [4] Object motion trajectories and interactions are used for football play classification [5] and for soccer event detection [6] Both [5] and [6] however, rely on pre extracted accurate object trajectories, which is done manually in [5] hence, they are not practical for real time applications. LucentVision [7] and ESPN K Zone [8] track only specific objects for tennis and baseball, ....
....and the resulting semantics. In the literature, object color and texture features are employed to generate highlights [3] and to parse TV soccer programs [4] Object motion trajectories and interactions are used for football play classification [5] and for soccer event detection [6] Both [5] and [6] however, rely on pre extracted accurate object trajectories, which is done manually in [5] hence, they are not practical for real time applications. LucentVision [7] and ESPN K Zone [8] track only specific objects for tennis and baseball, respectively. The former analyzes trajectory ....
[Article contains additional citation context not shown here]
S. Intille and A. Bobick, "Recognizing planned, multi-person action," Computer Vision and Image Under- standing, vol. 81, no. 3, pp. 414-445, March 2001.
Automatic Tracking and Labeling of Human Activities.. - Lv, Kang, Nevatia.. (2004) (Correct)
No context found.
S. Intille and A. Bobick. Recognizing planned multi-person action. In Jour. of Computer Vision and Image Understanding, vol. 3, pages 414-445, March 2001.
Automatic Soccer Video Analysis and Summarization - Ekin, Tekalp (2003) (25 citations) (Correct)
No context found.
S. Intille and A. Bobick, "Recognizing planned, multi-person action," Computer Vision and Image Understanding, vol. 81, no. 3, pp. 414-445, March 2001.
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