Pedestrian detection and tracking with night vision
First Claim
1. A method of identifying one or more humans in a sequence of infrared images from a single perspective, comprising the steps of:
- receiving a first image of the sequence of infrared images, said first image including a human image; and
detecting the human image by detecting candidate sections of the first image based on a classifier related to hotspots in said first image and matching the detected candidate sections with a classifier related to a plurality of base images.
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Accused Products
Abstract
A system and method for detecting and tracking humans, such as pedestrians, in low visibility conditions or otherwise. A night vision camera periodically captures a an infrared image of a road from a single perspective. A pedestrian detection module determines a position of a pedestrian in the frame by processing the captured image. The pedestrian detection module includes a support vector machine to compare information derived from the night vision camera to a training database. A pedestrian tracking module estimates pedestrian movement of the detected pedestrian from in subsequent frames by applying filters. The tracking module uses Kalman filtering to estimate pedestrian movement at periodic times and mean-shifting to adjust the estimation. An output display module interleaves detection frames and tracking frames in generating output video for the display.
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Citations
42 Claims
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1. A method of identifying one or more humans in a sequence of infrared images from a single perspective, comprising the steps of:
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receiving a first image of the sequence of infrared images, said first image including a human image; and detecting the human image by detecting candidate sections of the first image based on a classifier related to hotspots in said first image and matching the detected candidate sections with a classifier related to a plurality of base images. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. An apparatus for identifying one or more humans in a sequence of infrared images from a single perspective, comprising:
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a buffer for receiving the sequence of infrared images from the single perspective; and a human detection module for detecting a human image in a first image of the sequence of images by detecting candidate sections of the first image based on a classifier related to hotspots in said first image and matching the detected candidate sections with a classifier related to a training database having a plurality of base images. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31)
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32. A computer product, comprising:
a computer-readable medium having computer program instructions and data embodied thereon for identifying one or more humans in a sequence of infrared images from a single perspective, comprising the steps of; receiving a first image of the sequence of images, said first image including a human image; and detecting the human image by detecting candidate sections of the first image based on a classifier related to hotspots in said first image and matching the detected candidate sections with a classifier related to a plurality of base images. - View Dependent Claims (33, 34, 35, 36, 37, 38, 39, 40, 41, 42)
Specification