Video and lidar target detection and tracking system and method for segmenting moving targets
First Claim
1. A target detection and tracking system comprising:
- a moving target detection module to perform moving target detection using three-frame difference processing on frames of LIDAR range images of a scene to identify a moving target and determine an initial position estimate for the moving target,each LIDAR range image being formed from illumination of the scene with infrared laser light and analysis of round trip travel time of the infrared laser light collected from the scene,each LIDAR range image comprising a depth map of the scene, each LIDAR range image being unaffected by shadows, surface markings, color, and lighting; and
a segmentation module to perform segmentation of the moving target using a single frame of the LIDAR range images to generate a segmented target including a target mask and target centroid position.
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Abstract
Embodiments of video and LIDAR target detection and tracking system and method for segmenting targets are generally described herein. In some embodiments, the system may perform moving target detection using three-frame difference processing on frames of LIDAR range images of a scene to identify a moving target and determine an initial position estimate for the moving target. The system may also perform segmentation of the moving target using a single frame of the LIDAR range images to generate a segmented target that may include a target mask and target centroid position. After segmentation, moving target registration including motion compensation may be performed by registering the segmented target in multiple LIDAR frames to determine a target position, a target orientation and a target heading. In some embodiments, a three-dimensional model of the moving target may be generated and added to a sequence of video frames.
176 Citations
20 Claims
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1. A target detection and tracking system comprising:
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a moving target detection module to perform moving target detection using three-frame difference processing on frames of LIDAR range images of a scene to identify a moving target and determine an initial position estimate for the moving target, each LIDAR range image being formed from illumination of the scene with infrared laser light and analysis of round trip travel time of the infrared laser light collected from the scene, each LIDAR range image comprising a depth map of the scene, each LIDAR range image being unaffected by shadows, surface markings, color, and lighting; and a segmentation module to perform segmentation of the moving target using a single frame of the LIDAR range images to generate a segmented target including a target mask and target centroid position. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A video and LIDAR target detection, tracking and segmentation method comprising:
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performing moving target detection using three-frame difference processing on frames of LIDAR range images of a scene to identify a moving target and determine an initial position estimate for the moving target, each LIDAR range image being formed from illumination of the scene with infrared laser light and analysis of round trip travel time of the infrared laser light collected from the scene, each LIDAR range image comprising a depth map of the scene, each LIDAR range image being unaffected by shadows, surface markings, color, and lighting; and performing segmentation of the moving target using a single frame of the LIDAR range images to generate a segmented target including a target mask and target centroid position. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A method for target image segmentation comprising:
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transforming a LIDAR range image within a track window to a height image wherein pixel values of the height image correspond to heights of objects in a scene, the LIDAR range image being formed from illumination of the scene with infrared laser light and analysis of round trip travel time of the infrared laser light collected from the scene, the LIDAR range image comprising a depth map of the scene, the LIDAR range image being unaffected by shadows, surface markings, color, and lighting; thresholding-out pixels of the height image to remove ground pixels and occlusions in the height image to generate a segmented target image; applying a median filter to the LIDAR range image to fill in gaps; identifying depth discontinuities in the LIDAR range image after the gaps are filled, the depth discontinuities being identified using an image gradient of the LIDAR range image; nulling-out pixels of the segmented target image that correspond to the depth discontinuities; and establishing boundaries within the segmented target image to identify potential targets. - View Dependent Claims (18, 19, 20)
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Specification