Object flow: learning object displacement
C. Lalos, H. Grabner, Luc Van Gool and T. Varvarigou
In: 10th IEEE international workshop on visual surveillance - VS2010, 8 Nov 2010, Queenstown, New Zealand.
Modelling the dynamic behaviour of moving objects is one of the
basic tasks in computer vision. In this paper, we introduce the Object Flow,
for estimating both the displacement and the direction of an object-of-interest.
Compared to the detection and tracking techniques, our approach obtains the object
displacement directly similar to optical flow, while ignoring other irrelevant
movements in the scene. Hence, Object Flow has the ability to continuously focus
on a specific object and calculate its motion field. The resulting motion representation
is useful for a variety of visual applications (e.g., scene description, object
tracking, action recognition) and it cannot be directly obtained using the existing
|EPrint Type:||Conference or Workshop Item (Paper)|
|Project Keyword:||Project Keyword UNSPECIFIED|
|Deposited By:||Luc Van Gool|
|Deposited On:||17 March 2011|