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Combining multiple cues in a visual object detection system

Inactive Publication Date: 2006-08-17
IBM CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This can be a problem especially with shadow removal algorithms and may cause certain textured objects to be ignored.
Yet, this can be a time-consuming operation and the rules for when to break a shadow portion off a larger blob are difficult to formulate.
Once again, however, the criteria governing when to retain or dismiss a region are problematic.

Method used

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  • Combining multiple cues in a visual object detection system
  • Combining multiple cues in a visual object detection system
  • Combining multiple cues in a visual object detection system

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Embodiment Construction

[0014] Illustrative embodiments described herein statistically combine information from multiple sources (cues), e.g., differences, edges, and optionally motion, into a saliency map and then threshold this combined evidence to yield foreground / background pixel decisions. For example, differences may include changes in color, texture, edge energy or outlines, movement, etc. between frames. Because the system and methods may directly employ edge information, a change of texture contributes to a detection. Moreover, the computation and decision criterion are simple (addition and thresholding, respectively).

[0015] In a system using both texture differences computed over multi-pixel neighborhoods and more traditional single-pixel differences, a sound statistical basis may be found for combining the two types of differences. A suitable weighting can be achieved by measuring then propagating an estimate of pixel channel noise through the relevant cue detection computations to arrive at a ...

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Abstract

Systems and methods for detecting visual objects by employing multiple cues include statistically combining information from multiple sources into a saliency map, wherein the information may include color, texture and / or motion in an image where an object is to be detected or background determined. The statistically combined information is thresholded to make decisions with respect to foreground / background pixels.

Description

BACKGROUND [0001] 1. Technical Field [0002] The present invention relates to video processing and more particularly to a system and method for detecting objects in video. [0003] 2. Description of the Related Art [0004] Background subtraction is a method for finding moving objects in a known background. An incoming image is compared pixel-by-pixel with a stored reference image and a difference mask is computed. Most such algorithms work on a very local basis. Neighboring pixels (in space and time) are considered only in a post-processing morphology stage. This can be a problem especially with shadow removal algorithms and may cause certain textured objects to be ignored. That is, it is possible for adjacent pixels to be corrected in opposite directions (e.g. one brightened, one dimmed) such that neither is perceived as different from the background pattern. [0005] One solution to this dilemma is to not employ a pixel-based shadow removal algorithm, but instead detect all regions and ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06V10/28
CPCG06K9/38G06T7/0081G06K9/4623G06T7/2006G06T2207/10016G06T7/0087G06T7/11G06T7/143G06T7/215G06V10/28G06V10/451
Inventor CONNELL, JONATHAN H.
Owner IBM CORP
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