Simultaneous tracking of multiple objects is a state-of-art problem in the field of computer vision. The problems of tracking single object and tracking multiple objects are not same. For tracking multiple objects, lots of problem can arise due to abrupt object motion, multiple object interaction, drifting of object etc. Some recent work has proposed solution to minimize those problems. The mai...

object detection plays an important role in successfulness of a wide range ofapplications that involve images as input data. in this paper we have presented anew approach for background modeling by nonconsecutive frames differencing.direction and velocity of moving objects have been extracted in order to get anappropriate sequence of frames to perform frame subtraction. stationary parts ofbackg...

Underwater multi-object tracking (UMOT) is an important technology in marine animal ethology. It affected by complex factors such as scattering, background interference, and occlusion, which makes it a challenging computer vision task. As result, the stable continuation of trajectories among different targets has been key to performance UMOT tasks. To solve challenges, we propose underwater alg...