Abstract:
Methods and apparatus, including computer program products, for detecting a problem with a thermal camera. A current contrast value is determined for the thermal camera. It is determined whether the current contrast value deviates from a reference contrast value by more than a predetermined value. In response to determining that the current contrast value deviates from the reference contrast value by more than a predetermined value and for more than a predetermined period of time, an indication of a problem with the thermal camera is provided.
Abstract:
A method for increasing enhancing local contrast in a thermal image for a class of objects having a thermal characteristic is provided. The method including providing thermal image data representing a first thermal image, where the first thermal image is acquired by an absolute calibrated thermal imaging system, redistributing the thermal image data having a first intensity distribution into a second intensity distribution using a predetermined redistribution function, where the predetermined redistribution function is based on the thermal characteristic, such that the local contrast is enhanced for the class of objects, outputting the redistributed thermal image data as the thermal image. An apparatus for enhancing local contrast in a thermal image for a class of objects having a thermal characteristic is further provided.
Abstract:
There is provided a method, a device and a system for modifying at least one parameter used by a video processing algorithm, such as a motion detection algorithm, an object detection algorithm, or an object tracking algorithm, for monitoring of a scene (102). The method comprises: receiving a first (105a) and a second (105b) video sequence of the scene (102), wherein the first video sequence (105a) is captured using a thermal camera (104a) such that the first video sequence (105a) comprises thermal information being indicative of temperatures in the scene (102), and applying the video processing algorithm to the second video sequence (105b), wherein at least one parameter used by the video processing algorithm is modified based on the thermal information comprised in the first video sequence (105a).
Abstract:
Methods and apparatus, including computer program products, for detecting malfunction in a thermal camera. A first average response value is determined for a first shutter image captured by an image sensor in the thermal camera. A second average response value is determined of a second shutter image captured by the image sensor in the thermal camera. The first average response value and the second average response value are compared. In response to determining that the first average response value and the second average response value differ by more than a predetermined value, an indication of a malfunction of the thermal camera is provided.
Abstract:
There is provided a method, a device and a system for modifying at least one parameter used by a video processing algorithm, such as a motion detection algorithm, an object detection algorithm, or an object tracking algorithm, for monitoring of a scene (102). The method comprises: receiving a first (105a) and a second (105b) video sequence of the scene (102), wherein the first video sequence (105a) is captured using a thermal camera (104a) such that the first video sequence (105a) comprises thermal information being indicative of temperatures in the scene (102), and applying the video processing algorithm to the second video sequence (105b), wherein at least one parameter used by the video processing algorithm is modified based on the thermal information comprised in the first video sequence (105a).
Abstract:
There is provided a method for pre-processing a video stream for subsequent motion detection processing. The method comprises receiving a video stream of images, wherein each image in the video stream is represented by a first plurality of bits; enhancing the video stream of images by, for each image in the video stream: comparing the image to at least one previous image in the video stream so as to identify pixels where the image differs from the at least one previous image in the video stream, enhancing the image in those pixels where the image differs from the at least one previous image in the video stream; and converting the enhanced video stream of images so as to produce a converted video stream of images for subsequent motion detection processing, wherein each image in the converted video stream is represented by a second plurality of bits being lower than the first plurality of bits.
Abstract:
A method for increasing enhancing local contrast in a thermal image for a class of objects having a thermal characteristic is provided. The method including providing thermal image data representing a first thermal image, where the first thermal image is acquired by an absolute calibrated thermal imaging system, redistributing the thermal image data having a first intensity distribution into a second intensity distribution using a predetermined redistribution function, where the predetermined redistribution function is based on the thermal characteristic, such that the local contrast is enhanced for the class of objects, outputting the redistributed thermal image data as the thermal image. An apparatus for enhancing local contrast in a thermal image for a class of objects having a thermal characteristic is further provided.