Abstract:
An image processing system includes a dual lens module and a processor. The dual lens module captures a pair of images. The processor generates a depth map of the pair of images. The processor generates a pixel depth distribution histogram according to the depth map. The processor calculates a pixel depth mean and a pixel depth variance according to the pixel depth distribution histogram. The processor determines whether the pixel depth mean is within a distance range and determines whether the pixel depth variance is smaller than a first threshold or larger than a second threshold, so as to determine that the dual lens module is situated in a normal state or an abnormal state.
Abstract:
An image flow analyzing method with low datum storage and low datum computation is applied to a related camera device and a related camera system. The image flow analyzing method includes defining a monitoring region on a video image, detecting an input timing and an output timing of an object passing through the monitoring region, utilizing the input timing and the output timing to compute a first average staying amount and a first average staying period of the object within the monitoring region via a specific time length, and utilizing the first average staying amount and the first average staying period to compute a second average staying amount and a second average staying period of the object within a statistics range defined by several specific time lengths in accordance with an external command.
Abstract:
A device, method for image analysis and a computer-readable medium are provided. The method includes loading a first video stream having a first resolution, and selecting one first video frame of the first video stream. When an object exists in the selected first video frame, determine whether an image of the object in the selected first video frame matches a preset condition. If yes, the method performs image analysis to the image of the object in the selected first video frame. If not, the method loads a second video stream having a second resolution higher than the first resolution, selects one second video frame of the second video stream that the object exists in it, and performs the image analysis to an image of the object in the selected second video frame.
Abstract:
A surveillance region identifying method is used to analyze a region feature of a surveillance region covered by a surveillance apparatus. The surveillance region identifying method includes analyzing all track information within a series of images acquired by the surveillance apparatus to acquire an appearing point and a disappearing point of each track information, utilizing cluster analysis to define a main appearing point cluster of the appearing points, computing enter vectors of all appearing points inside the main appearing point cluster, and analyzing vector angles of all enter vectors of the main appearing point cluster to define an entrance of the surveillance region.
Abstract:
An information measuring method is used for measuring installation information of a camera disposed over a plane with an installation height and oriented towards the plane with a shooting angle. The information measuring method includes steps of disposing a first reference point and a second reference point on the plane; measuring a first distance and a second distance between the first reference point, the second reference point and a third reference point; capturing an image including the first reference point, the second reference point and the third reference point; analyzing the image to define a first reference line and a second reference line; determining a first angle and a second angle according to the first reference line, the second reference line and a first normal line; and determining the installation height and/or the shooting angle according to the first distance, the second distance, the first angle and the second angle.
Abstract:
A queue analyzing method is applied to an image monitoring apparatus for determining whether a rear object belongs to a queue of a front object. The queue analyzing method includes computing an angle difference and an interval between the rear object and the front object, transforming an original interval threshold into an amended interval threshold via the angle difference, comparing the interval with the amended interval threshold, and determining the rear object and the front object belong to the same queue when the interval is smaller than the amended interval threshold.
Abstract:
An object counting device includes an image capturer and a processor. The image capturer captures an image sequence related to a gate within a field of view. When an object in the image sequence passes through an entry/exit reference corresponding to the gate, the processor determines a moving direction of the object. When the processor determines that the object moves from a first side of the gate towards a second side of the gate, the processor counts the object into a first accumulated number. When the object exits from the field of view, the processor records an exit position of the object. The processor determines whether to count the object into a second accumulated number according to the exit position.
Abstract:
An image processing system includes a dual lens module and a processor. The dual lens module captures a pair of images. The processor generates a depth map of the pair of images. The processor generates a pixel depth distribution histogram according to the depth map. The processor calculates a pixel depth mean and a pixel depth variance according to the pixel depth distribution histogram. The processor determines whether the pixel depth mean is within a distance range and determines whether the pixel depth variance is smaller than a first threshold or larger than a second threshold, so as to determine that the dual lens module is situated in a normal state or an abnormal state.
Abstract:
An image flow analyzing method with low datum storage and low datum computation is applied to a related camera device and a related camera system. The image flow analyzing method includes defining a monitoring region on a video image, detecting an input timing and an output timing of an object passing through the monitoring region, utilizing the input timing and the output timing to compute a first average staying amount and a first average staying period of the object within the monitoring region via a specific time length, and utilizing the first average staying amount and the first average staying period to compute a second average staying amount and a second average staying period of the object within a statistics range defined by several specific time lengths in accordance with an external command.
Abstract:
A motion detection method is applied to a monitoring camera apparatus with motion detection function. The motion detection method includes analyzing a pixel value of each frame from a video stream changed over time, defining a first period and a second period having the pixel value greater than a triggering threshold respectively as a first event and a second event, comparing a time length of the first period with a filtering threshold to acquire time difference between an end point of the first period and a beginning point of the second period, comparing the time difference with a merging threshold, and acquiring relation between the first event and the second event according to comparison results of the filtering threshold and the merging threshold, so as to determine a detecting period of the motion detection function for actuation.