Tracking across multiple cameras with disjoint views
By Omar Javed, Zeeshan Rasheed, Khurram Shafique, Mubarak Shah. Proceedings Ninth IEEE International Conference on Computer Vision, 2003
424 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/7ebedd0b98d21c5d40eb1dbe74bf9483de7f9140
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
- Xiaogang Wang
- Luc Van Gool
- Chen Change Loy
- Tao A. Xiang
- Ming-Hsuan Yang
- Dacheng Tao
- Yi Yang
- Mubarak Shah
Citations in the corpus
- Consistent Labeling of Tracked Objects in Multiple Cameras with Overlapping Fields of View (2003, background): “Most of the information needed can be extracted by observing motion over a period of time.”
- Multi-camera activity correlation analysis (2009, methodology): “Most previous work on multi-camera activity analysis with non-overlapping views focuses on two related issues: (1) object re-identification (inter-camera object tracking) [2, 6, 7, 14] and (2) camera network topology inference [6, 12, 16].”
- Appearance modeling for tracking in multiple non-overlapping cameras (2005, methodology): “The details of the formulation and the maximization scheme are given in our previous work [7].”
- Intelligent multi-camera video surveillance: A review (2013, methodology): “If there are only two camera views, this problem can be solved by the Hungarian algorithm (Kuhn, 1956) or be formulated as a weighted bipartite graph matching problem (Cox and Hingorani, 1994; Alexander and Lucchesi , xxxx; Veenman et al., 2001; Javed et al., 2003).”
- A Survey of Vision-Based Trajectory Learning and Analysis for Surveillance (2008, background): “The cameras would need to establish correspondences between each other and their relative position within the network [51], [88].”
- Object tracking: A survey (2006, background): “Therefore some assumptions have to be made about the object speed and the path in order to obtain the correspondences across cameras [Huang and Russell 1997; Kettnaker and Zabih 1999; Javed et al. 2003].”
- Bridging the gaps between cameras (2004, background): “Javed et al [5] describe an alternative solution to the problem we consider here.”