- Research Article
- Open Access
Face Tracking in the Compressed Domain
EURASIP Journal on Advances in Signal Processing volume 2006, Article number: 059451 (2006)
A compressed domain generic object tracking algorithm offers, in combination with a face detection algorithm, a low-compu-tational-cost solution to the problem of detecting and locating faces in frames of compressed video sequences (such as MPEG-1 or MPEG-2). Objects such as faces can thus be tracked through a compressed video stream using motion information provided by existing forward and backward motion vectors. The described solution requires only low computational resources on CE devices and offers at one and the same time sufficiently good location rates.
Hjelmås E, Low BK: Face detection: a survey. Computer Vision and Image Understanding 2001, 83(3):236–274. 10.1006/cviu.2001.0921
Yang M-H, Kriegman DJ, Ahuja N: Detecting faces in images: a survey. IEEE Transactions on Pattern Analysis and Machine Intelligence 2002, 24(1):34–58. 10.1109/34.982883
Achanta R, Kankanhalli M, Mulhem P: Compressed domain object tracking for automatic indexing of objects in MPEG home video. Proceedings of IEEE International Conference on Multimedia and Expo (ICME '02), August 2002, Lausanne, Switzerland 2: 61–64.
Wang J, Achanta R, Kankanhalli M, Mulhem P: A hierarchical framework for face tracking using state vector fusion for compressed video. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '03), April 2003, Hong Kong 3: 209–212.
Schonfeld D, Lelescu D: VORTEX: video retrieval and tracking from compressed multimedia databases: affine transformation and occlusion invariant tracking from MPEG-2 video. Storage and Retrieval for Image and Video Databases VII, January 1998, San Jose, Calif, USA, Proceedings of SPIE 3656: 131–142.
Favalli L, Mecocci A, Moschetti F: Object tracking for retrieval applications in MPEG-2. IEEE Transactions on Circuits and Systems for Video Technology 2000, 10(3):427–432. 10.1109/76.836288
Mezaris V, Kompatsiaris I, Boulgouris N, Strintzis MG: Real-time compressed-domain spatiotemporal segmentation and ontologies for video indexing and retrieval. IEEE Transactions on Circuits and Systems for Video Technology 2004, 14(5):606–621. 10.1109/TCSVT.2004.826768
Nakajima Y, Yoneyama A, Yanagihara H, Sugano M: Moving object detection from MPEG coded data. Visual Communications and Image Processing '98, January 1998, San Jose, Calif, USA, Proceedings of SPIE 3309: 988–996.
Lie W-N, Chen R-L: Tracking moving objects in MPEG-compressed videos. Proceedings of IEEE International Conference on Multimedia and Expo (ICME '01), August 2001, Tokyo, Japan 965–968.
Vezhnevets V, Sazonov V, Andreeva A: A survey on pixel-based skin color detection techniques. Proceedings of International Conference on Computer Graphics & Vision (GraphiCon '03), September 2003, Moscow, Russia 85–92.
Hsu R-L, Abdel-Mottaleb M, Jain AK: Face detection in color images. IEEE Transactions on Pattern Analysis and Machine Intelligence 2002, 24(5):696–706. 10.1109/34.1000242
Sobottka K, Pitas I: A novel method for automatic face segmentation, facial feature extraction and tracking. Signal Processing: Image Communication 1998, 12(3):263–281. 10.1016/S0923-5965(97)00042-8
Nikolaidis A, Pitas I: Facial feature extraction and determination of pose. Proceedings of NOBLESSE Workshop on Non-Linear Model Based Image Analysis (NMBIA '98), July 1998, Glasgow, Scotland, UK 257–262.
Zhang Y, Chua T-S: Detection of text captions in compressed domain video. Proceedings of ACM Workshops on Multimedia (ACM MM '00), October 2000, Los Angeles, Calif, USA 201–204.
Fonseca P, Nesvadba J: Face detection in the compressed domain. Proceedings of IEEE International Conference on Image Processing (ICIP '04), October 2004, Singapore 3: 2015–2018.
Nesvadba J, Kleihorst R, Fan J, Fonseca PM, Broers H: Face related features in consumer electronic (CE) device environments. Proceedings of IEEE International Conference on Systems, Man and Cybernetics (SMC '04), October 2004, The Hague, The Netherlands 1: 641–648.
About this article
Cite this article
Fonseca, P.M., Nesvadba, J. Face Tracking in the Compressed Domain. EURASIP J. Adv. Signal Process. 2006, 059451 (2006). https://doi.org/10.1155/ASP/2006/59451
- Detection Algorithm
- Video Sequence
- Motion Vector
- Video Stream
- Tracking Algorithm