System and method for on-road detection of a vehicle using knowledge fusion
First Claim
1. A method for on-road vehicle detection comprising the steps of:
- receiving a video sequence comprised of a plurality of image frames;
identifying a potential vehicle appearance in an image frame;
using known vehicle appearance information and scene geometry information to formulate initial hypotheses about vehicle appearance;
tracking the potential vehicle appearance over multiple successive image frames;
identifying potential motion trajectories for the potential vehicle appearance over the multiple image frames;
applying knowledge fusion by assigning a confidence score to each trajectory of vehicle appearance, where the confidence score is defined as the product of probabilities obtained from appearance model, scene geometry model and motion model determined for each image frame containing the trajectories; and
determining that a trajectory with a high confidence score represents a vehicle appearance.
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Abstract
The present invention is directed to a system and method for on-road vehicle detection. A video sequence is received that is comprised of a plurality of image frames. A potential vehicle appearance is identified in an image frame. Known vehicle appearance information and scene geometry information are used to formulate initial hypotheses about vehicle appearance. The potential vehicle appearance is tracked over multiple successive image frames. Potential motion trajectories for the potential vehicle appearance are identified over the multiple image frames. Knowledge fusion of appearance, scene geometry and motion information models are applied to each image frame containing the trajectories. A confidence score is calculated for each trajectory. A trajectory with a high confidence score is determined to represent a vehicle appearance.
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Citations
46 Claims
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1. A method for on-road vehicle detection comprising the steps of:
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receiving a video sequence comprised of a plurality of image frames; identifying a potential vehicle appearance in an image frame; using known vehicle appearance information and scene geometry information to formulate initial hypotheses about vehicle appearance; tracking the potential vehicle appearance over multiple successive image frames; identifying potential motion trajectories for the potential vehicle appearance over the multiple image frames; applying knowledge fusion by assigning a confidence score to each trajectory of vehicle appearance, where the confidence score is defined as the product of probabilities obtained from appearance model, scene geometry model and motion model determined for each image frame containing the trajectories; and determining that a trajectory with a high confidence score represents a vehicle appearance. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23)
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24. A system for on-road vehicle detection comprises:
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at least one camera for capturing a video sequence of image frames of background dynamics; a processor associated with the at least one camera, the processor performing the following steps; i). identifying a potential vehicle appearance in an image frame; ii). using known vehicle appearance information and scene geometry information to formulate initial hypotheses about vehicle appearance; iii). tracking the potential vehicle appearance over multiple successive image frames; iv). identifying potential motion trajectories for the potential vehicle appearance over the multiple image frames; v). applying knowledge fusion by assigning a confidence score to each trajectory of vehicle appearance, where the confidence score is defined as the product of probabilities obtained from appearance model, scene geometry model and motion model determined for each image frame containing the trajectories; and vi). determining that a trajectory with a high confidence score represents a vehicle appearance. - View Dependent Claims (25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46)
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Specification