Contour-based object tracking with occlusion handling in video acquired using mobile cameras
By Alper Yilmaz, Xin Li, Mubarak Shah. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004
598 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/2ea87451b066226de1b42b8e61f5a80c3c351bbf
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Xiaogang Wang
- Ming-Hsuan Yang
- Mubarak Shah
- Jitendra Malik
- Kristen Grauman
- Dacheng Tao
- Andrew Zisserman
Citations in the corpus
- Human Action Recognition in Videos Using Kinematic Features and Multiple Instance Learning (2010, unknown): “The person segmentation was done using the contour evolution method proposed in [41].”
- A survey on activity recognition and behavior understanding in video surveillance (2013, background): “[217] where they tracked the complete region of the nonrigid objects and recovered the occluded objects parts.”
- Object tracking: A survey (2006, methodology): “2002] or built online [Yilmaz et al. 2004].”
- Robust video segment proposals with painless occlusion handling (2015, background): “Occlusion handling has been a major focus in the tracking literature for a long time [21, 44, 46] but research on occlusion handling for video segmentation is limited.”
- Tracking Multiple Occluding People by Localizing on Multiple Scene Planes (2009, methodology): “For a detailed review of the state of the art in tracking research, the reader is referred to the recent survey by Yilmaz et al. [61].”