Abstract: The present invention provides a panoramic viewing system, which includes a panoramic reflection mirror, formed in an elliptical conical status, and the conical surface thereof is defined as a curved surface used for reflecting an ambient light source; and an image sensor, disposed at one side of the panoramic reflection mirror and used for receiving a light source from the panoramic reflection mirror so as to generate an image data; wherein the panoramic reflection mirror allows a panoramic image to be formed in a rectangular area when the panoramic image is projected by the panoramic reflection mirror to the image sensor. In addition, the present invention also discloses a method of panoramic viewing, a panoramic projecting system, a method of panoramic projecting and a panoramic image sensor.

Abstract: A pedestrian detecting system includes a depth capturing unit, an image capturing unit and a composite processing unit. The depth capturing unit is configured to detect and obtain spatial information of a target object. The image capturing unit is configured to capture an image of the target object and recognize the image, thereby obtaining image feature information of the target object. The composite processing unit is electrically connected to the depth capturing unit and the image capturing unit, wherein the composite processing unit is configured to receive the spatial information and the image feature information and to perform a scoring scheme to detect and determine if the target object is a pedestrian. The scoring scheme performs weighted scoring on a spatial confidence and an appearance confidence to obtain a composite scoring value to determine if the target object is the pedestrian.

Abstract: A pedestrian detecting system includes a depth capturing unit, an image capturing unit and a composite processing unit. The depth capturing unit is configured to detect and obtain spatial information of a target object. The image capturing unit is configured to capture an image of the target object and recognize the image, thereby obtaining image feature information of the target object. The composite processing unit is electrically connected to the depth capturing unit and the image capturing unit, wherein the composite processing unit is configured to receive the spatial information and the image feature information and to perform a scoring scheme to detect and determine if the target object is a pedestrian. The scoring scheme performs weighted scoring on a spatial confidence and an appearance confidence to obtain a composite scoring value to determine if the target object is the pedestrian.

Abstract: The present invention provides a panoramic viewing system, which includes a panoramic reflection mirror, formed in an elliptical conical status, and the conical surface thereof is defined as a curved surface used for reflecting an ambient light source; and an image sensor, disposed at one side of the panoramic reflection mirror and used for receiving a light source from the panoramic reflection mirror so as to generate an image data; wherein the panoramic reflection mirror allows a panoramic image to be formed in a rectangular area when the panoramic image is projected by the panoramic reflection mirror to the image sensor. In addition, the present invention also discloses a method of panoramic viewing, a panoramic projecting system, a method of panoramic projecting and a panoramic image sensor.

Abstract: A vision based pedestrian and cyclist detection method includes receiving an input image, calculating a pixel value difference between each pixel and the neighbor pixels thereof, quantifying the pixel value difference as a weight of pixel, proceeding statistics for the pixel value differences and the weights, determining intersections of the statistics as a feature of the input image, classifying the feature into human feature and non-human feature, confirming the human feature belonging to cyclist according to the spatial relationship between the human feature and the detected two-wheeled vehicle, and retaining one detection result for each cyclist by suppressing other weaker spatial relationships between the human feature and the detected two-wheeled vehicle.

Abstract: A pedestrian detection system and method includes: dividing an image to a plurality of granules, and counting magnitude difference value of each granule in diagonal orientation to obtain features of HOGG. And the HOGG and the HOG captured can work together to improve the detection rate and reduce the false alarm rate, which is the ultimate goal of the vision based pedestrian detection.

Abstract: A vision based pedestrian and cyclist detection method includes receiving an input image, calculating a pixel value difference between each pixel and the neighbor pixels thereof, quantifying the pixel value difference as a weight of pixel, proceeding statistics for the pixel value differences and the weights, determining intersections of the statistics as a feature of the input image, classifying the feature into human feature and non-human feature, confirming the human feature belonging to cyclist according to the spatial relationship between the human feature and the detected two-wheeled vehicle, and retaining one detection result for each cyclist by suppressing other weaker spatial relationships between the human feature and the detected two-wheeled vehicle.

Abstract: The present invention provides a visual tracking system and its method comprising: a sensor unit, for capturing monitored scenes continuously; an image processor unit, for detecting when a target enters into a monitored scene, and extracting its characteristics to establish at least one model, and calculating the matching scores of the models; a hybrid tracking algorithm unit, for combining the matching scores to produce optimal matching results; a visual probability data association filter, for receiving the optimal matching results to eliminate the interference and output a tracking signal; an active moving platform, for driving the platform according to the tracking signal to situate the target at the center of the image. Therefore, the visual tracking system of the present invention can help a security camera system to record the target in details and maximize the visual information of the intruding target.

Abstract: A pedestrian detection system and method includes: dividing an image to a plurality of granules, and counting magnitude difference value of each granule in diagonal orientation to obtain features of HOGG. And the HOGG and the HOG captured can work together to improve the detection rate and reduce the false alarm rate, which is the ultimate goal of the vision based pedestrian detection.

Abstract: A pedestrian detector includes an image-taking mechanism and an image analyzer. The image-taking mechanism is provided on a vehicle and used to take an image in front of the vehicle. The image analyzer is connected to the image-taking mechanism and used to receive the image from the image-taking mechanism and analyze the image to determine whether the image conforms to a pedestrian to determine whether there is a pedestrian in front of the vehicle.

Abstract: A pedestrian detector includes an image-taking mechanism and an image analyzer. The image-taking mechanism is provided on a vehicle and used to take an image in front of the vehicle. The image analyzer is connected to the image-taking mechanism and used to receive the image from the image-taking mechanism and analyze the image to determine whether the image conforms to a pedestrian to determine whether there is a pedestrian in front of the vehicle.

Abstract: The present invention provides a visual tracking system and its method comprising: a sensor unit, for capturing monitored scenes continuously; an image processor unit, for detecting when a target enters into a monitored scene, and extracting its characteristics to establish at least one model, and calculating the matching scores of the models; a hybrid tracking algorithm unit, for combining the matching scores to produce optimal matching results; a visual probability data association filter, for receiving the optimal matching results to eliminate the interference and output a tracking signal; an active moving platform, for driving the platform according to the tracking signal to situate the target at the center of the image. Therefore, the visual tracking system of the present invention can help a security camera system to record the target in details and maximize the visual information of the intruding target.

Abstract: A method for automatic fingerprint classification is dependent on the number of core points and the ridge flow direction around the core points. The speed of the classification process is improved by pre-processing the fingerprint image to identify the background blocks and the fingerprint blocks, so that the process only deal with the fingerprint blocks. A block directional image is constructed for the fingerprint blocks. The block directional image is then used to determine the core point(s) of the fingerprint. Based on the number of core point and the trend of the ridge direction around each core point, fingerprints can be classified into 8 classes based on a set of predetermined rules.

Abstract: A method to extract automatic high level features of a gray level ridge flow image including the automatic determination of the location of the high level features including the core and delta points of a fingerprint image in the form of a gray level image, comprising the following five steps:(1) determining a ridge flow direction of each gray level pixel of a fingerprint image and assign it with a direction code;(2) finding out a block directional flow and assigning each with appropriate direction code thereof;(3) correcting block flow directions in which a detection of the flow direction is affected image an input image quality in order to be immune from noises infiltrated during the acquiring process;(4) locating the delta points which are based on a corrected block direction flow diagram to locate from zero to a few delta points; and(5) locating the core points which are based on a corrected block direction flow diagram to locate one to two core points.

Abstract: A fingerprint recognizing apparatus includes: a prism, an electroluminescent device secured or adhered on an incident surface of the prism for emitting a uniform light towards a finger-laying surface of the prism with the light beam reflected at the valleys of the fingerprint, a photosensor selected from a charge-coupled-device (CCD) sensing camera for picking up the image as reflected from the prism for converting the image signal to be a voltage signal, and an image processing and recognizing circuit for processing the voltage signal for fingerprint identification, wherein the energizing of the ELD is synchronized with the image processing and recognizing for a reliable fingerprint recognization.