Object detection

Details Object detection Object detection

2004-12-08

2009-02-10

Azarian, Seyed (Department: 2624)

Image analysis

Applications

Target tracking or detecting

C382S291000, C348S222100

Reexamination Certificate

active

07489803

ABSTRACT:
Object detection apparatus for detecting objects in a test image comprises means for comparing blocks of a test window of the image with reference data indicative of the presence of an object to generate index figures indicative of a degree of similarity between a region and the reference data; means for storing probability data corresponding to possible values of the index figure and the block position; means operable, in respect of a current block, for accessing a probability value from the storing means in dependence on that block's position within the test window and the index figure generated in respect of that block; and means for combining the probability values corresponding to blocks in a test window to generate a result indicative of the probability of that test window containing an object; in which the probability values in the storing means are ordered by block position then by index figure.

REFERENCES:
patent: 6496184 (2002-12-01), Freeman et al.
patent: 6681032 (2004-01-01), Bortolussi et al.
patent: 6829384 (2004-12-01), Schneiderman et al.
patent: 6940545 (2005-09-01), Ray et al.
patent: 7130454 (2006-10-01), Berube et al.
patent: 7194114 (2007-03-01), Schneiderman
patent: 2003/0190076 (2003-10-01), DeLean
patent: 2003/0215134 (2003-11-01), Krumm
patent: 0 682 325 (1997-03-01), None
patent: 1 353 516 (2003-10-01), None
Schneiderman H et al: “A histogram-based method for detection of faces and cars” Image Processing, 2000. Proceedings. 2000 International Conference on Sep. 10-13, 2000, Piscataway, NJ, USA,IEEE, vol. 3, Sep. 10, 2000, pp. 504-507, XP010529514 ISBN: 0-7803-6297-7.
Heisele B et al: “Face recognition: component-based versus global approaches” Computer Vision and Image Understanding Academic Press USA, vol. 91, No. 1-2, Jul. 2003, pp. 6-21, XP002319296 ISSN: 1077-3142.
Chin-Chen Chang et al.: “A color Image Retrieval Method Based on Local Histogram” PROC IEEE Pacific Rim Conf. on Multimedia Information Processing PCM2001, 2001, pp. 831-836, XP002319297.
Bileschi S M et al: “Advances in component-based face detection” Pattern Recognition With Support Vector Machines. First International Workshop, SVM 2002. Proceedings (Lecture Notes in Computer Science vol. 2388) Springer-Verlag Berlin, Germany, 2002, pp. 135-143, XP002319298 ISBN: 3-540-44016-X.
Henry Schneiderman et al., “A Statistical Method for 3D Object Detection Applied to Faces and Cars”, IEEE Conference on Computer Vision and Pattern Detection, 2000.
Henry Schneiderman et al.. “Probabilistic Modeling of Local Appearance and Spatial Relationships for Object Recognition”, IEEE Conference on Computer Vision and Pattern Detection, 1998.
Henry Schneiderman, “A Statistical Approach to 3D Object Detection Applied to Faces and Cars”, phD thesis, Robotics Institute, Carnegie Mellon University, pp. 1-100, May 10, 2000.
Erik Hjelmas et al., “Face Detection: A Survey”, Computer Vision and Image Understanding, No. 83, pp. 236-274, 2001.
Ming-Hsuan Yang et al, “Detecting Faces in Images: A Survey”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, No. 1, pp. 34-58, Jan. 2002.

Affiliated with

Also associated with

Rating

Object detection does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Object detection, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Object detection will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-4063872