Tracking in Multiple Cameras with Overlapping FOV
Human Tracking in Multiple Cameras, 8th IEEE International Conference on Computer Vision, ICCV 2001, Vancouver, Canada, July 2001.
Omar Javed, Sohaib Khan, Zeeshan Rasheed, Mubarak Shah, Camera Handoff: Tracking in Multiple Uncalibrated Stationary Cameras, IEEE Workshop on Human Motion, HUMO-2000, Austin, TX, December 2000.
Sequence 1:[Training Sequence, used to generate lines] [results] [symbolic results]
This sequence shows two persons in a room with three cameras. The FOV lines were established by one person walking in the room for about 40 seconds
Sequence 2:[results] [symbolic results]
This sequence shows three persons in a room with three cameras. The FOV lines were established by one person walking in the room for about 40 seconds
Sequence 3:[orig (small sample)] [symbolic results]
This sequence is taken from the PETS 2001 dataset. There are multiple persons and cars in this scene. A training sequence, which also comes with the dataset was used to establish the lines automatically, without the constraint of only one person walking in the environment. The given sequence is the testing sequence, in which correspondence was established correctly.
Tracking Results on Sequence 3:One way of displaying results is to generate movies of tracked objects, with best view selection from the cameras in which the object is visible. To do this, correct correspondence must be established between different views of the same object, and hence is a good way to visualize the results. Below are some objects seen in Sequence 3.
[Person1] [Person5] [Person6] [Person7]
Presentation given at HUMO 2000 (Dec 2000)
Presentation Sept 2001