BibTeX:

@article{IJIRSTV3I9029,
     title={Advanced Real Time Objects detection and Tracking in HEVC Videos},
     author={Siddappa Pulare and Dr. T S Indumathi},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={9},
     pages={40--44},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I9029.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

In this paper, we propose a modern method of tracking in which it detects multiple moving objects in videos compressed per H.265/HEVC standard. Our proposed paper work largely depends on motion vectors (MV) and block types obtained by partially decoding the video bit stream and occasionally uses pixel domain information to distinguish between two objects. In this work an approach to detect the moving object in compressed domain HEVC is discussed which is used in video surveillance system. Because High Efficiency Video Coding (HEVC) has a large potential to identify events by reusing coding structures in HEVC, which saves vast extent of computational resources. Here the feature Motion Intensity Count (MIC) makes use of motion vector, coding unit and prediction unit of HEVC. Our extensive experimental results demonstrate that the approach provides the remarkable performance and can classify moving person and vehicles accurately and robustly.

Object Tracking, Object Detection, HEVC, Classification, MIC