Abstract
In this paper, we propose a moving object tracking method in the compressed domain. Because video data are large in size, it is usually compressed by H.264/AVC or MPEG for storage or transmission. Most image processing systems track targets in the pixel domain after decoding compressed data. Objects in video data are tracked based on their color and luminance information in the pixel domain. However, tracking methods in the pixel domain have higher computational complexity than in the compressed domain. We propose a method that directly employs moving object tracking in the compressed domain without a decoding process. Tracking algorithms in the compressed domain are usually based on motion information, or motion vectors. However, motion vectors are not generated when objects stop moving, and their accuracy is low. To overcome these problems, we propose a method that uses motion vectors and other information in macroblocks to track moving objects in a compressed H.264/AVC video stream. The proposed method can reduce computational complexity compared to a pixel domain algorithm. In addition, experimental results show that tracking accuracy is improved by the proposed method. Therefore, this method can be effectively used for video surveillance systems.
| Original language | English |
|---|---|
| Title of host publication | 2013 Picture Coding Symposium, PCS 2013 - Proceedings |
| Publisher | IEEE Computer Society |
| Pages | 141-144 |
| Number of pages | 4 |
| ISBN (Print) | 9781479902941 |
| DOIs | |
| Publication status | Published - 2013 |
| Event | 2013 Picture Coding Symposium, PCS 2013 - San Jose, CA Duration: 2013 Dec 8 → 2013 Dec 11 |
Other
| Other | 2013 Picture Coding Symposium, PCS 2013 |
|---|---|
| City | San Jose, CA |
| Period | 13/12/8 → 13/12/11 |
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Keywords
- Motion detection
- Video compression
- Video signal processing
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Software
Cite this
Examination of a tracking and detection method using compressed domain information. / Maekawa, Erii; Goto, Satoshi.
2013 Picture Coding Symposium, PCS 2013 - Proceedings. IEEE Computer Society, 2013. p. 141-144 6737703.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Examination of a tracking and detection method using compressed domain information
AU - Maekawa, Erii
AU - Goto, Satoshi
PY - 2013
Y1 - 2013
N2 - In this paper, we propose a moving object tracking method in the compressed domain. Because video data are large in size, it is usually compressed by H.264/AVC or MPEG for storage or transmission. Most image processing systems track targets in the pixel domain after decoding compressed data. Objects in video data are tracked based on their color and luminance information in the pixel domain. However, tracking methods in the pixel domain have higher computational complexity than in the compressed domain. We propose a method that directly employs moving object tracking in the compressed domain without a decoding process. Tracking algorithms in the compressed domain are usually based on motion information, or motion vectors. However, motion vectors are not generated when objects stop moving, and their accuracy is low. To overcome these problems, we propose a method that uses motion vectors and other information in macroblocks to track moving objects in a compressed H.264/AVC video stream. The proposed method can reduce computational complexity compared to a pixel domain algorithm. In addition, experimental results show that tracking accuracy is improved by the proposed method. Therefore, this method can be effectively used for video surveillance systems.
AB - In this paper, we propose a moving object tracking method in the compressed domain. Because video data are large in size, it is usually compressed by H.264/AVC or MPEG for storage or transmission. Most image processing systems track targets in the pixel domain after decoding compressed data. Objects in video data are tracked based on their color and luminance information in the pixel domain. However, tracking methods in the pixel domain have higher computational complexity than in the compressed domain. We propose a method that directly employs moving object tracking in the compressed domain without a decoding process. Tracking algorithms in the compressed domain are usually based on motion information, or motion vectors. However, motion vectors are not generated when objects stop moving, and their accuracy is low. To overcome these problems, we propose a method that uses motion vectors and other information in macroblocks to track moving objects in a compressed H.264/AVC video stream. The proposed method can reduce computational complexity compared to a pixel domain algorithm. In addition, experimental results show that tracking accuracy is improved by the proposed method. Therefore, this method can be effectively used for video surveillance systems.
KW - Motion detection
KW - Video compression
KW - Video signal processing
UR - http://www.scopus.com/inward/record.url?scp=84897740615&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84897740615&partnerID=8YFLogxK
U2 - 10.1109/PCS.2013.6737703
DO - 10.1109/PCS.2013.6737703
M3 - Conference contribution
AN - SCOPUS:84897740615
SN - 9781479902941
SP - 141
EP - 144
BT - 2013 Picture Coding Symposium, PCS 2013 - Proceedings
PB - IEEE Computer Society
ER -