DocumentCode
1718975
Title
Blind face indexing in video
Author
Prinosil, Jiri
Author_Institution
Fac. of Electr. Eng. & Commun., Brno Univ. of Technol., Brno, Czech Republic
fYear
2011
Firstpage
575
Lastpage
578
Abstract
This paper deals with the proposal of blind face indexing system for real videos with no prior knowledge. The system consists of face and facial features detection and tracking stage and face clustering stage. Viola-Jones object detector for face detection, pictorial structures for facial feature detection and Lucas-Kanade optical flow for facial feature tracking are used. Average face models based on popular SIFT features are applied for face clustering. The system operates well on discussion talks or records of videoconferences.
Keywords
image segmentation; indexing; object detection; pattern clustering; tracking; video signal processing; Lucas-Kanade optical flow; SIFT features; Viola-Jones object detector; average face model; blind face indexing system; face clustering stage; face features detection; facial feature tracking; facial features detection; pictorial structures; videoconference; Face; Face recognition; Facial features; Feature extraction; Indexing; Lighting; Clustering; SIFT keypoints and descriptors; face detection; facial feature;
fLanguage
English
Publisher
ieee
Conference_Titel
Telecommunications and Signal Processing (TSP), 2011 34th International Conference on
Conference_Location
Budapest
Print_ISBN
978-1-4577-1410-8
Type
conf
DOI
10.1109/TSP.2011.6043664
Filename
6043664
Link To Document