ABSTRACT
The ongoing research on object tracking in video sequences has attracted many researchers. Detecting the objects in the video and tracking its motion to identify its characteristics has been emerging as a demanding research area in the domain of image processing and computer vision. Most of the methods include object segmentation using background subtraction. The tracking strategies use different methodologies like Mean-shift, Kalman filter, Particle filter etc. The performance of the tracking methods vary with respect to background information. In this survey, we have discussed the feature descriptors that are used in tracking to describe the appearance of objects which are being tracked as well as object detection techniques. In this survey, we have classified the tracking methods into three groups, and a providing a detailed description of representative methods in each group, and find out their positive and negative aspects.
PROJECT OUTPUT
PROJECT VIDEO
Contact:
Mr. Roshan P. Helonde
Mobile: +91-7276355704
WhatsApp: +91-7276355704
Email: roshanphelonde@rediffmail.com
Can you sent me the source code , Of course if you do not mind ..
ReplyDeleteThank you , with all respect
My Email : ageelbaraa@gmail.com
I am really impressed by your project. Can I get its source code.
ReplyDeleteEmail: mac244623@gmail.com
Regards
Could you send me this code? Or inform the functions you used to track this objects? I need to follow an element on a video and I really think that your method about select the object to track is impressive. Thank you!
ReplyDeleteviniciusanders@hotmail.com