Abstract: Provided is a remote active camera including an image capture unit; a gimbal unit that changes a direction in which the image capture unit is directed; a memory in which images having an identification number are stored; a communication unit that transmits acquired images to a remote control apparatus and receives target designation information from the remote control apparatus; a tracking unit that includes a first tracking unit which tracks a position of a preset reference target from a first image, and a second tracking unit which tracks positions of the designation target and the reference target from a second image; and a controller that compares identification numbers of the first and second images, estimates or detects a position value of the designation target on the basis of positions of the designation target and the reference target, and a position of the reference target, and controls the gimbal unit.

Abstract: Disclosed are a three-dimensional motion recognition method and an apparatus using a motion template method and an optical flow tracking method of feature points. The three dimensional (3D) motion recognition method through feature-based stereo matching according to an exemplary embodiment of the present disclosure includes: obtaining a plurality of images from a plurality of cameras; extracting feature points from a single reference image; and comparing and tracking the feature points of the reference image and another comparison image photographed at the same time using an optical flow method.

Abstract: Disclosed are a three-dimensional motion recognition method and an apparatus using a motion template method and an optical flow tracking method of feature points. The three dimensional (3D) motion recognition method through feature-based stereo matching according to an exemplary embodiment of the present disclosure includes: obtaining a plurality of images from a plurality of cameras; extracting feature points from a single reference image; and comparing and tracking the feature points of the reference image and another comparison image photographed at the same time using an optical flow method.

Abstract: Provided is a method and apparatus for detecting multi moving objects in high resolution image sequences and performs moving objects on a screen using a general image collecting apparatus. The present invention provides a method of effectively removing the background of moving objects like motion of a leaf or reflection of a wave in an outdoor environment using a statistical method and uses a GPU installed in a general computer to process high resolution image sequences at high speed.

Abstract: Provided is an apparatus for tracking an object, including: a dynamic area extracting unit that extracts an object to be tracked from an image frame collected through an image collecting apparatus; an object modeling unit that models the object to be tracked extracted through the dynamic area extracting unit to calculate the color distribution of the object to be tracked; and an object tracking unit that calculates the color distribution of a next image frame collected through the image collecting apparatus, after calculating the color distribution of the object to be tracked, and calculates a posterior probability that each pixel belongs to the object to be tracked in the next image frame based on the calculated color distribution of the next image frame and the color distribution of the object to be tracked to track the object to be tracked.