Temporal Tracking on Videos with Direction Detection
Journal: The International Arab Journal of Information Technology (Vol.15, No. 5)Publication Date: 2018-09-01
Authors : Shajeena Johnson;
Page : 802-808
Keywords : Motion vector; distance measure; histogram; block matching; DCT; tracking;
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.
Other Latest Articles
- Capacity Enhancement Based on Dynamically Adapted PF Scheduling Algorithm for LTE Downlink System
- Google N-Gram Viewer does not Include Arabic Corpus! Towards N-Gram Viewer for Arabic Corpus
- THE APPLICATION OF THE COMMUNICATIVE LANGUAGE TEACHING METHOD IN THE LIBYAN CLASS AT A UK UNIVERSITY: LESSON PLAN, RATIONALE AND EVALUATION
- MODERN COMMUNICATION TECHNOLOGIES AS A MEANS OF PROMOTING POLITICAL IDEAS
- IMMUNOGENETIC PARAMETERS IN CHILDREN WITH DIFFERENT SEVERITY OF BRONCHIAL ASTHMA
Last modified: 2019-04-30 20:15:55