Method and apparatus for feature computation and object detection utilizing temporal redundancy between video frames
作者： Veldandi Muninder
DOI:
关键词: Artificial intelligence 、 Redundancy (information theory) 、 Residual frame 、 Object detection 、 Reference frame 、 Computer program 、 Feature computation 、 Inter frame 、 Computer science 、 Computer vision
摘要: A method, apparatus and computer program product are provided for determining spatial location one or more facial features. method computes features an initial frame. The computed of the frame generate a feature image. also determines whether translation is verified between intermediate frame, wherein in instance which distance used to verify within predetermined threshold level. includes face search, using portion image, features, image searched fraction total number frames analyzed computation cycle. detected
google.de 参考文章(18)
Veldandi Muninder, Pranav Mishra, Krishna Annasagar Govindarao, Roongroj Nopsuwanchai, Method, device and computer program product for detecting objects in digital images ,(2010)
Darryl Greig, Modifying parameters of an object detector based on detection information ,(2009)
Peter Jan Pakulski, Ashley Partis, David Kenji See, Daniel John Wedge, Video object fragmentation detection and management ,(2009)
David Ezra, Nicolas Steven Holliman, Qi He Hong, Method of and apparatus for detecting a human face and observer tracking display ,(1999)
Ruxandra Vranceanu, Razvan Condorovici, Carmen Patrascu, Foti Coleca, Laura Florea, Robust detection and tracking of salient face features in color video frames international symposium on signals, circuits and systems. pp. 1- 4 ,(2011) , 10.1109/ISSCS.2011.5978694
F Dufaux, Key frame selection to represent a video international conference on image processing. ,vol. 2, pp. 275- 278 ,(2000) , 10.1109/ICIP.2000.899354
E. Arnaud, B. Fauvet, E. Memin, P. Bouthemy, A robust and automatic face tracker dedicated to broadcast videos international conference on image processing. ,vol. 3, pp. 429- 432 ,(2005) , 10.1109/ICIP.2005.1530420
D. Zhong, S.-F. Chang, Video object model and segmentation for content-based video indexing international symposium on circuits and systems. ,vol. 2, pp. 1492- 1495 ,(1997) , 10.1109/ISCAS.1997.622202
G. Puglisi, S. Battiato, Fast block based local motion estimation for video stabilization computer vision and pattern recognition. pp. 50- 57 ,(2011) , 10.1109/CVPRW.2011.5981882
Ovadya Menadeva, Itzhak Wilf, Hayit Greenspan, Method of selecting key-frames from a video sequence ,(1999)