Abstract: A method for generating an orientation image, adapted to an electronic device, includes the following steps. A plurality of input pixels including a current input pixel of an input image is received. Edge detection is performed on the current input pixel in a first and second direction to generate a first current gradient and a second current gradient respectively with respect to the first direction and the second direction. A ratio of the first current gradient to a current gradient absolute sum is calculated to obtain a current ratio, where the current gradient absolute sum is a sum of absolute values of the first and second current gradient. A sign of the second current gradient is extracted to obtain a current sign. The current ratio and the current sign are inputted to a lookup table to obtain an image orientation angle corresponding to the current input pixel.

Abstract: An object detection system including a storage unit, image acquisition module, feature searching module, calculation module, and confirmation module is provided. The image acquisition module obtains a first, second, and third image respectively corresponding to a first, second, and third timepoint of a video sequence from the storage unit, where time difference between the first and second timepoint is less than or equal to that between the second and third timepoint. The feature searching module searches for at least one feature from the first image. When the feature is within a near-distance detected region, the calculation module calculates a motion vector of the feature according to the first and second image; otherwise, it calculates the motion vector of the feature according to the third and one of the first and second image. The confirmation module confirms the existence of a moving object according to the motion vector of the feature.

Abstract: An obstacle detection device is provided, which includes a storage unit, a quasi-vertical edge detection module, an intersection determination module, a position determination module, and an obstacle detection module. The quasi-vertical edge detection module receives an input image and performs a quasi-vertical edge detection procedure on the input image to obtain a plurality of quasi-vertical edges. The intersection determination module determines whether the quasi-vertical edges intersect a predetermined virtual horizontal. If one of the quasi-vertical edges intersects the predetermined virtual horizontal, the position determination module determines whether an end of one of the quasi-vertical edges intersecting the predetermined virtual horizontal is located in a detection zone. If one end of one of the quasi-vertical edges intersecting the predetermined virtual horizontal is located in the detection zone, the obstacle detection module determines that an obstacle exists and issues a warning.

Abstract: An object detection system including a storage unit, image acquisition module, feature searching module, calculation module, and confirmation module is provided. The image acquisition module obtains a first, second, and third image respectively corresponding to a first, second, and third timepoint of a video sequence from the storage unit, where time difference between the first and second timepoint is less than or equal to that between the second and third timepoint. The feature searching module searches for at least one feature from the first image. When the feature is within a near-distance detected region, the calculation module calculates a motion vector of the feature according to the first and second image; otherwise, it calculates the motion vector of the feature according to the third and one of the first and second image. The confirmation module confirms the existence of a moving object according to the motion vector of the feature.

Abstract: An obstacle detection device is provided, which includes a storage unit, a quasi-vertical edge detection module, an intersection determination module, a position determination module, and an obstacle detection module. The quasi-vertical edge detection module receives an input image and performs a quasi-vertical edge detection procedure on the input image to obtain a plurality of quasi-vertical edges. The intersection determination module determines whether the quasi-vertical edges intersect a predetermined virtual horizontal. If one of the quasi-vertical edges intersects the predetermined virtual horizontal, the position determination module determines whether an end of one of the quasi-vertical edges intersecting the predetermined virtual horizontal is located in a detection zone. If one end of one of the quasi-vertical edges intersecting the predetermined virtual horizontal is located in the detection zone, the obstacle detection module determines that an obstacle exists and issues a warning.