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» Extraction and Clustering of Motion Trajectories in Video
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ICPR
2008
IEEE
14 years 5 months ago
Collaborate ball and player trajectory extraction in broadcast soccer video
Enormous accessible broadcast soccer videos demand an efficient ball and player trajectory extraction framework to represent the tactic semantics for the automatic analysis. Camer...
Yi Zhang, Hanqing Lu, Changsheng Xu
ICCV
2009
IEEE
2205views Computer Vision» more  ICCV 2009»
14 years 9 months ago
Video stabilization using robust feature trajectories
This paper proposes a new approach for video stabilization. Most existing video stabilization methods adopt a framework of three steps, motion estimation, motion compensation an...
Ken-Yi Lee, Yung-Yu, Chuang Bing-Yu, Chen Ming Ouh...
MM
2009
ACM
252views Multimedia» more  MM 2009»
13 years 11 months ago
Localizing volumetric motion for action recognition in realistic videos
This paper presents a novel motion localization approach for recognizing actions and events in real videos. Examples include StandUp and Kiss in Hollywood movies. The challenge ca...
Xiao Wu, Chong-Wah Ngo, Jintao Li, Yongdong Zhang
CVIU
2008
192views more  CVIU 2008»
13 years 4 months ago
Content based video matching using spatiotemporal volumes
This paper presents a novel framework for matching video sequences using the spatiotemporal segmentation of videos. Instead of using appearance features for region correspondence ...
Arslan Basharat, Yun Zhai, Mubarak Shah
CVPR
2012
IEEE
11 years 7 months ago
Discovering discriminative action parts from mid-level video representations
We describe a mid-level approach for action recognition. From an input video, we extract salient spatio-temporal structures by forming clusters of trajectories that serve as candi...
Michalis Raptis, Iasonas Kokkinos, Stefano Soatto