Method and system for detection and tracking employing multi-view multi-spectral imaging
First Claim
1. Multi-view multi-spectral detection and tracking system comprising:
- at least one imager, at least one of said at least one imager being a multi-spectral imager, said multi-spectral imager acquiring images in a plurality of spectral bands, at least one of said spectral bands extending beyond the visible spectral band, said at least one imager acquiring at least two detection sequences, and at least two tracking sequences, each sequence including at least one image, each acquired image being associated with respective image attributes;
an object detector, coupled with said at least one imager, detecting objects of interest in said scene, according to said detection sequence of images and said respective image attributes;
an object tracker coupled with said object detector, said object tracker tracking said objects of interest in said scene and determining dynamic spatial characteristics and dynamic spectral characteristics for each object of interest according to said tracking sequences of images and said respective image attributes, said image attributes including at least the spectrum of the image;
an object classifier, coupled with said object tracker, classifying said objects of interest according to said dynamic spatial characteristics and said dynamic spectral characteristics; and
wherein said object detector comprises a pre-processor couples with a database, said pre-processor at least including;
an image registration processor, registering the images acquired from different positions in said scene;
an image segmentation processor, segmenting the acquired images into segments, each segment is associated with at least a portion of an object in said scene; and
a segments of interest identifier, couples with said image registration processor and with said image segmentation processor, said segments of interest identifier identifies segments of interest in the scene according to the segmented images and a background model of said scene.
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Abstract
Multi view multi spectral detection and tracking system comprising at lease one imager, at least one of the at least one imager being a multi spectral imager, the at least one imager acquiring at least two detection sequences, and at least two tracking sequences, each sequence including at least one image, each acquired image being associated with respective image attributes, an object detector, coupled with the at least one imager, detecting objects of interest in the scene, according to the detection sequence of images and the respective image attributes, an object tracker coupled with the object detector, the object tracker tracking the objects of interest in the scene and determining dynamic spatial characteristics and dynamic spectral characteristics for each object of interest according to the tracking sequences of images and the respective image attributes and an object classifier, coupled with the object tracker, classifying the objects of interest according to the dynamic spatial characteristics and the dynamic spectral characteristics.
17 Citations
50 Claims
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1. Multi-view multi-spectral detection and tracking system comprising:
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at least one imager, at least one of said at least one imager being a multi-spectral imager, said multi-spectral imager acquiring images in a plurality of spectral bands, at least one of said spectral bands extending beyond the visible spectral band, said at least one imager acquiring at least two detection sequences, and at least two tracking sequences, each sequence including at least one image, each acquired image being associated with respective image attributes; an object detector, coupled with said at least one imager, detecting objects of interest in said scene, according to said detection sequence of images and said respective image attributes; an object tracker coupled with said object detector, said object tracker tracking said objects of interest in said scene and determining dynamic spatial characteristics and dynamic spectral characteristics for each object of interest according to said tracking sequences of images and said respective image attributes, said image attributes including at least the spectrum of the image; an object classifier, coupled with said object tracker, classifying said objects of interest according to said dynamic spatial characteristics and said dynamic spectral characteristics; and wherein said object detector comprises a pre-processor couples with a database, said pre-processor at least including; an image registration processor, registering the images acquired from different positions in said scene; an image segmentation processor, segmenting the acquired images into segments, each segment is associated with at least a portion of an object in said scene; and a segments of interest identifier, couples with said image registration processor and with said image segmentation processor, said segments of interest identifier identifies segments of interest in the scene according to the segmented images and a background model of said scene. - 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 multi-view multi-spectral detection and tracking method comprising the procedures of:
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acquiring at least two detection sequences of images of the scene, each sequence including at least one image, each image being associated with respective image attributes, at least a portion of said images being acquired in a plurality of spectral bands, at least one of said spectral bands extending beyond the visible spectral band; detecting objects of interest from objects in the scene and determining initial object characteristics according to said detection sequence of images and said respective image attributes; acquiring at least two tracking sequences of images of the scene, each sequence including at least one image, each image being associated with respective image attributes; tracking the objects of interest in the scene according to the sequences of images and determining dynamic spatial and spectral characteristics of each said objects of interest according to tracking sequences of images and said respective image attributes, said image attributes including at least the spectrum of the image, wherein said objects in said scene are identified according to at least one of the following criteria; an object, corresponding to at least one segment of interest, which exhibit a 3D trajectory which is substantially different that the 3D trajectory of background objects, is identified as an object in said scene; and objects, corresponding to a group of segments of interest, said objects exhibiting substantially to same 3D trajectory, are identified as a single object in said scene; and classifying each of the objects of interest according to a respective object classification model respective of said each object of interest. - 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, 47, 48, 49, 50)
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Specification