Temporal Tracking on Videos with Direction Detection
Shajeena Johnson
Department of Computer Science and
Engineering, James College of Engineering and Technology, India
Abstract: Tracking is essentially a matching problem. This
paper proposes a tracking scheme for video objects on compressed domain. This
method mainly focuses on locating the object region and predicting (evolving)
the detection of movement, which improves tracking precision. Motion Vectors
(MVs) are used for block matching. At each frame, the decision of whether a
particular block belongs to the object being tracked is made with the help of
histogram matching. During the process of matching and evolving the direction
of movement, similarities of target region are compared to ensure that there is
no overlapping and tracking performed in a right way. Experiments using the
proposed tracker on videos demonstrate that the method can reliably locate the
object of interest effectively.
Keywords: Motion vector, distance measure, histogram, block matching, DCT, tracking.
Received August 19, 2014; accepted April 2, 2015