IR OR THERMAL IMAGE ENHANCEMENT METHOD BASED ON BACKGROUND INFORMATION FOR VIDEO ANALYSIS
First Claim
1. An image enhancement method for video analysis or automatic surveillance system, comprising:
- at least one image acquisition device through which an IR or thermal spectrum input image of an area of space is captured, the input image being digitized by the image acquisition device or an image digitizing system,a scene calibration system, anda detection system through which at least one type of object is detected,the method comprising;
at least one processing stage in which a contrast of the input image is improved through the input image'"'"'s depth or scene information obtained directly or indirectly by the scene calibration system or entered manually by a user, the at least one processing stage comprising at least one scene equalization stage defined from the input image'"'"'s depth or scene information;
the at least one scene equalization stage comprising at least the following steps;
define region of interest (r);
calculate a histogram of the input image pixels contained in the region of interest pIr(i) and use this information to obtain a corresponding transformation function Tr;
wherein
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Abstract
An image enhancement method for video analysis or automatic video surveillance systems has at least one image acquisition device, through which an IR thermal spectrum image is captured from an area of space, a scene calibration system and a detection system, through which at least one object type is detected. The method includes at least one processing stage in which the contrast of the captured image is enhanced by the image acquisition device through the image'"'"'s depth or scene information obtained directly or indirectly by the scene calibration system or entered manually by the user.
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Citations
22 Claims
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1. An image enhancement method for video analysis or automatic surveillance system, comprising:
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at least one image acquisition device through which an IR or thermal spectrum input image of an area of space is captured, the input image being digitized by the image acquisition device or an image digitizing system, a scene calibration system, and a detection system through which at least one type of object is detected, the method comprising; at least one processing stage in which a contrast of the input image is improved through the input image'"'"'s depth or scene information obtained directly or indirectly by the scene calibration system or entered manually by a user, the at least one processing stage comprising at least one scene equalization stage defined from the input image'"'"'s depth or scene information; the at least one scene equalization stage comprising at least the following steps; define region of interest (r); calculate a histogram of the input image pixels contained in the region of interest pI r (i) and use this information to obtain a corresponding transformation function Tr;wherein - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 15, 16, 17, 20, 21, 22)
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9. An image enhancement method for video analysis or automatic surveillance system, comprising:
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at least one image acquisition device through which an IR or thermal spectrum input image is captured of an area of space, is the input image being digitized by the image acquisition device or an image digitizing system; a scene calibration system; and a detection system through which at least one type of object is detected, this method comprising; at least one processing stage in which a contrast of the digital image captured by the image acquisition device is improved through the image'"'"'s depth or scene information obtained directly or indirectly by the scene calibration system or entered manually by the user and comprising at least one spatial filtering stage defined from the input image'"'"'s depth or scene information obtained by the scene calibration system; the spatial filtering stage comprising at least the following steps; for each point of the input image, a size of the target object in pixels is obtained (w,h) using the scene calibration system, wherein w and h are a width and a height respectively of the target object in pixels at the point, for each the points of the image, a spatial filter is constructed with size between 3×
3 pixels and max(w,h)×
max(w,h);each point of the image is convolved with the spatial filter with the size corresponding to that point or, alternatively, only points belonging to a region of interest rƒ
are convolved and a filtered image O is obtained, being rƒ
⊂
DI where DI is a domain of the input image and is defined as DI=[0, Iw−
1]×
[0, Ih−
1] where Iw is a total width of the input image and Ih is a total height of the input image. - View Dependent Claims (10, 11, 12, 13, 14)
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18-19. -19. (canceled)
Specification