Abstract: A driving mechanism for moving an optical element is provided, including a fixed part, a movable part, and a driving assembly. The movable part is movably connected to the fixed part, wherein the optical element is disposed on the movable part. The driving assembly is configured to drive the movable part to move relative to the fixed part.

Abstract: An optical element driving mechanism is provided, including a movable portion, a fixed portion, and a driving assembly. The movable portion is connected to an optical element. The movable portion is movable relative to the fixed portion. The driving assembly drives the movable portion to move relative to the fixed portion.

Abstract: An optical element driving mechanism is provided. The optical element driving mechanism includes a movable portion, a fixed portion, and a driving assembly. The movable portion is used to connect the optical element. The movable portion may move relative to the fixed portion. The driving assembly is used to drive the movable portion to move relative to the fixed portion.

Abstract: An optical element driving mechanism is provided. The optical element driving mechanism includes a movable portion, a fixed portion, and a driving assembly. The movable portion is used to connect the optical element. The movable portion may move relative to the fixed portion. The driving assembly is used to drive the movable portion to move relative to the fixed portion.

Abstract: An optical element driving mechanism is provided. The optical element driving mechanism includes a movable portion, a fixed portion, and a driving assembly. The movable portion is used to connect the optical element. The movable portion may move relative to the fixed portion. The driving assembly is used to drive the movable portion to move relative to the fixed portion.

Abstract: An optical element driving mechanism is provided. The optical element driving mechanism includes a movable portion, a fixed portion, and a driving assembly. The movable portion is used to connect the optical element. The movable portion may move relative to the fixed portion. The driving assembly is used to drive the movable portion to move relative to the fixed portion.

Abstract: An optical element driving mechanism is provided. The optical element driving mechanism includes a movable portion, a fixed portion, and a driving assembly. The movable portion is used to connect the optical element. The movable portion may move relative to the fixed portion. The driving assembly is used to drive the movable portion to move relative to the fixed portion.

Abstract: A method of performing video stabilization may be applied to unstable frames captured by a vibrating camera. The method includes checking if the frame is vibrating and calculating a degree of vibration for compensating a vibration area. Based on block motion estimation, a feature block selected from nine fixed observation blocks is used to obtain a vibration vector. The vibration vector is used to adjust the vibration frame for restoring the frame.

Abstract: Determining if an input image is a foggy image includes determining an average luminance gray level of the input image, performing Sobel image processing on the input image to generate a Sobel image of the input image when the average luminance gray level of the input image is between a first image average luminance and a second image average luminance, determining a first normalization value and a second normalization value of the input image, determining a mean value and a standard deviation of the Sobel image when the first normalization value and the second normalization value are less than a first threshold value, and determining the input image as a foggy image when a sum of the mean value and the standard deviation is less than a second threshold value.

Abstract: While locating a license plate of a moving vehicle on consecutive images, motion detection is first performed on the consecutive images to detect a moving vehicle image, which is segmented using edge detection, and the segmented moving vehicle image is analyzed to retrieve characteristics for locating a license plate image and determining characters on the located license plate image. As a result, a precise location of the license plate is thus precisely located for further recognition no matter what weathers in which the consecutive images are recorded. The above-mentioned technique requires merely few calculations, is easily implemented, and may be applied on an intelligent digital video recording (DVR) system including many computer-vision functions.

Abstract: A method for reducing image noise includes calculating a first pixel amount of pixels that are similar to each other in a first number neighbor of a center pixel in a motion window, determining whether the first pixel amount of pixels that are similar to each other in the first number neighbor is greater than a first predetermined value, and using a mean of those pixels of the first pixel amount of pixels that are similar to each other in the first number neighbor to restore the center pixel of the motion window if the first pixel amount of pixels is greater than the first predetermined value. The method includes determining whether a second pixel amount of pixels that are similar to the center pixel is greater than a second predetermined value if the first pixel amount of pixels is not greater than the first predetermined value.

Abstract: Vehicle segmentation and counting method based on the property of color variation and headlight information combining change detection in nighttime traffic environment (one-way road with coming direction) is provided. The goal is to reduce the effect of ground-illumination that decreases the accuracy of vehicle segmentation. Besides, the amount of traffic flow is calculated and it can be used in other post-applications, such as traffic-flow reporting or controlling.

Abstract: Disclosed is a multi-path method of block matching computing for image processing, which comprises: determining a searching pattern with a center pixel point and a plurality of surrounding pixel points to perform a block searching operation; computing a plurality of pixel value differences between the center pixel point and the surrounding points of two continuous frames; and utilizing at least two pixel points with a pixel value difference as the center pixel point to perform the next block searching operation, wherein the pixel difference of the at least two pixel points has a difference less than a predetermined value from a minimum pixel value difference.

Abstract: While locating a license plate of a moving vehicle on consecutive images, motion detection is first performed on the consecutive images to detect a moving vehicle image, which is segmented using edge detection, and the segmented moving vehicle image is analyzed to retrieve characteristics for locating a license plate image and determining characters on the located license plate image. As a result, a precise location of the license plate is thus precisely located for further recognition no matter what weathers in which the consecutive images are recorded. The above-mentioned technique requires merely few calculations, is easily implemented, and may be applied on an intelligent digital video recording (DVR) system including many computer-vision functions.

Abstract: Determining if an input image is a foggy image includes determining an average luminance gray level of the input image, performing Sobel image processing on the input image to generate a Sobel image of the input image when the average luminance gray level of the input image is between a first image average luminance and a second image average luminance, determining a first normalization value and a second normalization value of the input image, determining a mean value and a standard deviation of the Sobel image when the first normalization value and the second normalization value are less than a first threshold value, and determining the input image as a foggy image when a sum of the mean value and the standard deviation is less than a second threshold value.

Abstract: A method of performing video stabilization may be applied to unstable frames captured by a vibrating camera. The method includes checking if the frame is vibrating and calculating a degree of vibration for compensating a vibration area. Based on block motion estimation, a feature block selected from nine fixed observation blocks is used to obtain a vibration vector. The vibration vector is used to adjust the vibration frame for restoring the frame.

Abstract: Disclosed is a method for video object segmentation, which includes the following steps:(a) detecting a changing state between a current frame and a previous frame; (b) categorizing the current frame as a moving region, a still region, a background region and an uncovered background region according to the detecting result from the step (a); (c) determining a moving object in the current frame according to the sorting result from the step (b); and (d) updating a background component.

Abstract: A video object segmentation method takes advantage of edge and color features in conjunction with edge detection and change detection to improve the accuracy of video object segmentation for rainy situations. The video object segmentation method of the present invention includes analyzing HSI-color information of the initially extracted objects to obtain features of the moving object; performing edge detection to obtain edges of the moving object for reducing the effect of confusing raindrops with moving objects in rainy dynamic background; performing object region detection to generate an accurate object mask for solving the uncovered-background problem and the still-object problem; and employing a bounding-box based matching method for solving the reflection problem of the moving object in the rained ground.

Abstract: A method of effective image authentication and image restoration by hiding watermarks in DCT (Discrete Cosine Transform) coefficients is presented. The basic concept is to embed the selected significant watermarking bits for authentication and restoration into the selected medium- and low-frequency DCT coefficients. Thus, the illegally tampered regions can be detected, and then the original information in that region can be extracted for restoration. Experimental results show that the proposed authentication and restoration techniques can be applied to a DVR (Digital Video Recorder) system, in which no original image information is involved, and it can effectively detect the illegally tampered region and restore the tampered region in the human visual perceptual quality by only using a little embedded original information.

Abstract: Based on area and color analyses, a cost-effective bi-directional people counter dedicated to the pedestrian flow passing through a gate or a door is proposed. Firstly, the passing people are roughly counted with the area of people projected on an image captured by a zenithal video camera. The moving direction of the pedestrian can be recognized by tracking each people-pattern with an analysis of its HSI histogram. To improve the accuracy of counting, the color vector extracted from the quantized histograms of intensity or hue is introduced to refine the early counting. Besides, the inherent problems of both people touching together and merge/split phenomenon can be overcome.