Abstract: A surveillance system including a surveillance server and at least one network camera is provided. The network camera includes: a camera configured to capture images of a monitoring area; a communication interface configured to communicate with a server and a beacon terminal; and a processor configured to transmit a first beacon signal to the beacon terminal to receive a second beacon signal corresponding to the first beacon signal from the beacon terminal, generate beacon information and image information in response to receiving the second beacon signal, and transmit the beacon information and the image information to the server via the communication interface, wherein the beacon information includes location information of the beacon terminal, and the image information includes an image of a monitoring target that carries the beacon terminal.

Abstract: Provided are an apparatus and method for outputting a stabilized image even when a camera sways. The method includes: applying a first compensated motion to the image to acquire a first stabilized image, wherein an accumulation result of first motions, each of which is estimated between adjacent images from a reference image to an arbitrary image, is inversely transformed into the first compensated motion; and acquiring a second motion estimated between the reference image and the first stabilized image and applying the accumulation result of the first motions and a second compensated motion to the image to acquire a second stabilized image. An accumulation result of the second motion is inversely transformed into the second compensated motion.

Abstract: A surveillance system including a surveillance server and at least one network camera is provided. The network camera includes: a camera configured to capture images of a monitoring area; a communication interface configured to communicate with a server and a beacon terminal; and a processor configured to transmit a first beacon signal to the beacon terminal to receive a second beacon signal corresponding to the first beacon signal from the beacon terminal, generate beacon information and image information in response to receiving the second beacon signal, and transmit the beacon information and the image information to the server via the communication interface, wherein the beacon information includes location information of the beacon terminal, and the image information includes an image of a monitoring target that carries the beacon terminal.

Abstract: Provided are a device and method for removing distortion in a photographed image. The method includes estimating a parameter set indicative of an amount of distortion in an input image by a local motion vector between a reference image and the input image, and reconstructing the input image by using the estimated parameter set.

Abstract: An adaptive image processing apparatus includes a first matching unit selecting representative candidate images from among a plurality of images included in an image pyramid and calculating a first matching score between each of the representative candidate images and a target model; a second matching unit selecting one scale level from among scale levels of the representative candidate images based on the first matching score and calculating a second matching score between each of images having scale levels included in a dense scale level range with respect to the selected scale level and the target model; a representative scale level selecting unit selecting at least one of the scale levels included in the dense scale level range as a representative scale level based on the second matching scores; and an image processing unit performing image processing based on an image having the selected representative scale level.

Abstract: A target extracting apparatus and method for extracting a target through probability modeling of pixel brightness values in an image, and a recording medium storing a program for performing the method, are disclosed. The method includes extracting a background image from an input image, modeling brightness values of the input image and the background image based on a Gaussian distribution to generate an input image modeling result and a background image modeling result, calculating likelihood ratios for determining whether a pixel in the input image corresponds to a target based on a correlation between the input image modeling result and the background image modeling result and target templates having different sizes; determining a location of the target based on the calculated likelihood ratios; and outputting the determined location of the target.

Abstract: Provided are a digital image processing apparatus which corrects a position of each of a plurality of template motion vectors of an image frame of a captured image by considering relative positions of neighboring motion vectors respectively similar to each of the template motion vectors, calculates a score of each of the template motion vectors by considering a number of the neighboring motion vectors, and selects a global motion vector representing the image frame based on the score, and a method of estimating a global motion of an image to stabilize the captured image using the global motion.

Abstract: Provided are a device and method for removing distortion in a photographed image. The method includes estimating a parameter set indicative of an amount of distortion in an input image by a local motion vector between a reference image and the input image, and reconstructing the input image by using the estimated parameter set.

Abstract: Provided are an apparatus and method for outputting a stabilized image even when a camera sways. The method includes: applying a first compensated motion to the image to acquire a first stabilized image, wherein an accumulation result of first motions, each of which is estimated between adjacent images from a reference image to an arbitrary image, is inversely transformed into the first compensated motion; and acquiring a second motion estimated between the reference image and the first stabilized image and applying the accumulation result of the first motions and a second compensated motion to the image to acquire a second stabilized image. An accumulation result of the second motion is inversely transformed into the second compensated motion.

Abstract: Provided are a digital image processing apparatus which corrects a position of each of a plurality of template motion vectors of an image frame of a captured image by considering relative positions of neighboring motion vectors respectively similar to each of the template motion vectors, calculates a score of each of the template motion vectors by considering a number of the neighboring motion vectors, and selects a global motion vector representing the image frame based on the score, and a method of estimating a global motion of an image to stabilize the captured image using the global motion.

Abstract: A method of operating a host apparatus connected to at least one camera in a surveillance system, the method includes: generating metadata by analyzing an image captured by the camera; and obtaining an actual-occurrence probability of a set event according to the metadata.

Abstract: An adaptive image processing apparatus includes a first matching unit selecting representative candidate images from among a plurality of images included in an image pyramid and calculating a first matching score between each of the representative candidate images and a target model; a second matching unit selecting one scale level from among scale levels of the representative candidate images based on the first matching score and calculating a second matching score between each of images having scale levels included in a dense scale level range with respect to the selected scale level and the target model; a representative scale level selecting unit selecting at least one of the scale levels included in the dense scale level range as a representative scale level based on the second matching scores; and an image processing unit performing image processing based on an image having the selected representative scale level.

Abstract: A target extracting apparatus and method for extracting a target through probability modeling of pixel brightness values in an image, and a recording medium storing a program for performing the method, are disclosed. The method includes extracting a background image from an input image, modeling brightness values of the input image and the background image based on a Gaussian distribution to generate an input image modeling result and a background image modeling result, calculating likelihood ratios for determining whether a pixel in the input image corresponds to a target based on a correlation between the input image modeling result and the background image modeling result and target templates having different sizes; determining a location of the target based on the calculated likelihood ratios; and outputting the determined location of the target.