Face Track in H.264 Compressed Domain using the Face Observation-MRF Model
In this paper, we propose a face track algorithm to determine the presence and location of faces of sizes more than 15×15 pixels in all frames of QCIF video sequences encoded by H.264/AVC. The proposed system composes of detection and tracking algorithms that all perform in H.264/AVC JM15.0 Encoder. The location of multiple frontal and non-frontal faces in compressed video sequences could be detected using information derived from YCbCr and AC coefficients that are taken from Iframe encoding mode. The face detection algorithm is combined with face track algorithm that performs face tracking in Pframes of compressed video sequences by using the Face Observation-based Markovian Random Field model. The proposed algorithm is not only affected less from noise MVs and its motion changes, but also offers low computational cost solution to problem of tracking faces. Experiments show that our algorithm provides the remarkable performance and can extract the location of faces on H.264/AVC compressed domain efficiently and robustly.
face tracking face detection H.264 compressed domain object segmentation
Chol-Man Nam QiuQi Ruan GaoYun An
Institute of Information Science, Beijing Jiaotong University, Beijing, China, 100044 College of Com Institute of Information Science, Beijing Jiaotong University, Beijing, China, 100044
国际会议
2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)
北京
英文
1283-1287
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）