Abstract: Provided are an apparatus and a method of compositing vehicle periphery images. The method of compositing vehicle periphery images includes selecting an object of interest from a rear image, adjusting a view area of the rear image based on the object of interest, and compositing a left image, the rear image, and a right image by reflecting a composite reference line according to the view area.

Abstract: A vehicle driving assistance method is provided. The vehicle driving assistance method may comprise receiving an image of surroundings of a vehicle; receiving driving information of the vehicle; adjusting a region of interest (an ROI) in the image based on the driving information; detecting an object from the ROI; determining a probability of collision between the object and the vehicle; and outputting a signal based on the probability of collision.

Abstract: Provided is a method of lane change support. The method comprises step of detecting lane lines by analyzing an image obtained by a first image sensor provided on a side of a vehicle and step of setting a vehicle detection region for detecting a moving object in the image obtained by the first image sensor based on the detected lane lines and step of detecting the moving object in the set vehicle detection region and judging a possibility of collision between the vehicle and the detected object and step of providing lane change information indicating whether it is dangerous for the vehicle to change lanes based on the result of judging the possibility of collision.

Abstract: Disclosed are an apparatus for detecting an object. The apparatus for detecting an object includes a processor configured to execute processor-executable instructions to acquire a video of a target region corresponding to a movement direction of a mobile body, extract one or more interesting points of one or more objects in the video acquired and extract one or more motion vectors according to positional changes of the one or more interesting points in the video, select one or more reference points having fixed positions in the target region and set one or more reference vectors of the one or more reference points, respectively, according to positional changes of the one or more reference points in the video, and detect a moving object among the one or more objects in the video by comparing the one or more motion vectors extracted with the one or more reference vectors set.

Abstract: Provided are a collision avoidance method using a depth sensor, the method comprises receiving depth-based image information and identifying a path in the received depth-based image information, determining a depth level for each region of the depth-based image information, setting one or more distance-based sensing regions on the identified path based on the determined depth level, determining whether an object is detected in each of the set distance-based sensing regions and outputting a control signal for controlling the operation of a transport when determining that the object has been detected.

Abstract: A target tracking device has an input unit configured to receive information on a target to be searched for, and a predicted path calculating unit configured to use the received information and a plurality of prediction models to calculate a movement candidate point of the target for each of the prediction models so as to provide movement candidate points. The predicted path calculating unit also determines a predicted movement point of the target by making a comparison among the calculated movement candidate points. A determining unit able to determine whether an image of the target is included in imagery of a camera, at one of the movement candidate points, is controlled to first check imagery of a camera at only the predicted movement point of the target.

Abstract: A private key generation apparatus for generating a private key corresponding to a user ID using the user ID as a public key is disclosed. When a user ID is input, an ID conversion unit outputs a specific element value of a discrete logarithm cyclic group having a one-to-one correspondence relationship with an input user ID. A private key calculation unit calculates a discrete logarithm result value based on the output specific element value of the discrete logarithm cyclic group and calculates a private key having a one-to-one correspondence relationship with the user ID. According to the present invention, it is possible to concretely propose a method of calculating a secret key, capable of guaranteeing a one-to-one correspondence relationship between the ID and the private key by applying a method of calculating a discrete logarithm using the pre-computation table in an ID-based encryption system.

Abstract: The present invention relates to a video search apparatus and method, and more particularly, to a video search apparatus and method which can be used to search video data collected by a video capture apparatus, such as a closed circuit television (CCTV), for information desired by a user.

Abstract: A private key generation apparatus for generating a private key corresponding to a user ID using the user ID as a public key is disclosed. When a user ID is input, an ID conversion unit outputs a specific element value of a discrete logarithm cyclic group having a one-to-one correspondence relationship with an input user ID. A private key calculation unit calculates a discrete logarithm result value based on the output specific element value of the discrete logarithm cyclic group and calculates a private key having a one-to-one correspondence relationship with the user ID. According to the present invention, it is possible to concretely propose a method of calculating a secret key, capable of guaranteeing a one-to-one correspondence relationship between the ID and the private key by applying a method of calculating a discrete logarithm using the pre-computation table in an ID-based encryption system.