Object detection using dynamic probability scans

Details Object detection using dynamic probability scans Object detection using dynamic probability scans

2005-06-28

2005-06-28

Hjerpe, Richard (Department: 2672)

Image analysis

Applications

Personnel identification

C382S115000, C382S190000, C382S199000, C345S581000

Reexamination Certificate

active

06912298

ABSTRACT:
Methods and apparatus, including computer program products, for detecting an object in an image. The techniques include scanning a sequence of pixels in the image, each pixel having one or more property values associated with properties of the pixel, and generating a dynamic probability value for each of one or more pixels in the sequence. The dynamic probability value for a given pixel represents a probability that the given pixel has neighboring pixels in the sequence that correspond to one or more features of the object. The dynamic probability value is generated by identifying a dynamic probability value associated with a pixel that immediately precedes the given pixel in the sequence; updating the identified dynamic probability value based on the property values of the immediately preceding pixel; and associating the updated probability value with the given pixel.

REFERENCES:
patent: 6204858 (2001-03-01), Gupta
patent: 2002/0106112 (2002-08-01), Chen et al.
patent: 2003/0190080 (2003-10-01), Simard et al.
Jia Li and James Z. Wang, “Automatic Linguistic Indexing of Pictures By a Statistical Modeling Approach,” Abstract, pp. 1-24 (2003).
Jiuliu Lu and Lawrence Carin, Dept. of Electrical and Computer Engineering, Duke University, Durham, NC 27708-0291, “Hidden Markov Multiresolution Textures Segmentation,” Abstract, pp. 1-28.

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