Abstract: There is provided a method for avoiding the collision of an autonomous vehicle, the method including: setting collision detection areas including first and second collision detection areas based on a state of a first vehicle and a collision detection target at a location adjacent to the first vehicle; and determining the possibility of a collision between the first vehicle and the collision detection target using the collision detection areas of the first vehicle and the collision detection target; wherein setting the collision detection areas includes maintaining an attribute of the first collision detection area and changing an attribute of the second collision detection area in response to a change in the state of the first vehicle and the collision detection target.

Abstract: There is provided a method for controlling an autonomous vehicle using preset area information, the method being performed by a computing apparatus and being a method for controlling the speed of an autonomous vehicle autonomously traveling along a preset travel path, the method including: determining whether the vehicle is located in a preset first area based on the location information of the vehicle; obtaining information about a preset second area corresponding to the first area; obtaining a condition for the second area; and determining a vehicle control command based on the condition for the second area and information collected from the second area.

Abstract: There is provided a method for controlling an autonomous vehicle using preset area information, the method being performed by a computing apparatus and being a method for controlling the speed of an autonomous vehicle autonomously traveling along a preset travel path, the method including: determining whether the vehicle is located in a preset first area based on the location information of the vehicle; obtaining information about a preset second area corresponding to the first area; obtaining a condition for the second area; and determining a vehicle control command based on the condition for the second area and information collected from the second area.

Abstract: There is provided a method for avoiding the collision of an autonomous vehicle, the method including: setting collision detection areas including first and second collision detection areas based on a state of a first vehicle and a collision detection target at a location adjacent to the first vehicle; and determining the possibility of a collision between the first vehicle and the collision detection target using the collision detection areas of the first vehicle and the collision detection target; wherein setting the collision detection areas includes maintaining an attribute of the first collision detection area and changing an attribute of the second collision detection area in response to a change in the state of the first vehicle and the collision detection target.

Abstract: Processing an image includes acquiring, by the image processing apparatus, a target image, extracting a shape of a target object included in the target image, determining a category including the target object based on the extracted shape, and storing the target image by mapping the target image with additional information including at least one keyword related to the category.

Abstract: A user terminal device includes a communicator configure to communicate with an external device; a touchscreen configured to display an image and to receive a touch input; and a controller configured to control the touchscreen to display an image received from the external device through the communicator, to control the touchscreen to display a first indicator associated with an object included in the displayed image, in response to the touch input being detected on the image displayed on the touchscreen, the first indicator being displayed at a point where the touch input is detected, and to control the communicator to transmit data related to the first indicator to the external device, the data comprising information to be used by the external device in determining a position of a second indicator to be included in an image displayed in the external device.

Abstract: A user terminal device includes a communicator configure to communicate with an external device; a touchscreen configured to display an image and to receive a touch input; and a controller configured to control the touchscreen to display an image received from the external device through the communicator, to control the touchscreen to display a first indicator associated with an object included in the displayed image, in response to the touch input being detected on the image displayed on the touchscreen, the first indicator being displayed at a point where the touch input is detected, and to control the communicator to transmit data related to the first indicator to the external device, the data comprising information to be used by the external device in determining a position of a second indicator to be included in an image displayed in the external device.

Abstract: Processing an image includes acquiring, by the image processing apparatus, a target image, extracting a shape of a target object included in the target image, determining a category including the target object based on the extracted shape, and storing the target image by mapping the target image with additional information including at least one keyword related to the category.

Abstract: Provided is an electronic device including a display configured to display a first image; and one or more processors electrically connected with the display, wherein the one or more processors are configured to: select a region surrounding a first object comprising a first sub-region surrounding a first part of the first object and a second sub-region surrounding a second part of the first object from the first image, apply a first correction scheme to the first sub-region surrounding the first part of the first object, apply a second correction scheme to the second sub-region surrounding the second part of the first object, and generate a second image comprising the corrected first sub-region surrounding the first part of the first object and the corrected second sub-region surrounding the second part of the first object.

Abstract: Disclosed is an image processing apparatus including: a storage configured to store model information regarding a boundary of a person area in an image; and a controller configured to determine a boundary of a target area in an area to be processed, and to control the target area to undergo image processing for the person area if it is determined, based on the model information stored in the storage, that the determined boundary of the target area matches the boundary of the person area.

Abstract: Provided is an electronic device including a display configured to display a first image; and one or more processors electrically connected with the display, wherein the one or more processors are configured to: select a region surrounding a first object comprising a first sub-region surrounding a first part of the first object and a second sub-region surrounding a second part of the first object from the first image, apply a first correction scheme to the first sub-region surrounding the first part of the first object, apply a second correction scheme to the second sub-region surrounding the second part of the first object, and generate a second image comprising the corrected first sub-region surrounding the first part of the first object and the corrected second sub-region surrounding the second part of the first object.

Abstract: A method of processing an image by using an image processing apparatus is provided. The method includes acquiring, by the image processing apparatus, a target image, extracting a shape of a target object included in the target image, determining a category including the target object based on the extracted shape, and storing the target image by mapping the target image with additional information including at least one keyword related to the category.

Abstract: Disclosed is an image processing apparatus including: a storage configured to store model information regarding a boundary of a person area in an image; and a controller configured to determine a boundary of a target area in an area to be processed, and to control the target area to undergo image processing for the person area if it is determined, based on the model information stored in the storage, that the determined boundary of the target area matches the boundary of the person area.

Abstract: A method of processing an image by using an image processing apparatus is provided. The method includes acquiring, by the image processing apparatus, a target image, extracting a shape of a target object included in the target image, determining a category including the target object based on the extracted shape, and storing the target image by mapping the target image with additional information including at least one keyword related to the category.

Abstract: A user terminal device includes a communicator configure to communicate with an external device; a touchscreen configured to display an image and to receive a touch input; and a controller configured to control the touchscreen to display an image received from the external device through the communicator, to control the touchscreen to display a first indicator associated with an object included in the displayed image, in response to the touch input being detected on the image displayed on the touchscreen, the first indicator being displayed at a point where the touch input is detected, and to control the communicator to transmit data related to the first indicator to the external device, the data comprising information to be used by the external device in determining a position of a second indicator to be included in an image displayed in the external device.

Abstract: Provided are a method and apparatus for detecting an abnormal movement. The apparatus includes a feature tracing unit configured to extract features of a moving object in an input image, trace a variation in position of the extracted features according to time, and ascertain trajectories of the extracted features; a topic online learning unit configured to classify the input image in units of documents which are bundles of the trajectories, and ascertain probability distribution states of topics, which constitute the classified document, by using an online learning method which is a probabilistic topic model; and a movement pattern online learning unit configured to learn a velocity and a direction for each of the ascertained topics, and learn a movement pattern by inferring a spatiotemporal correlation between the ascertained topics.

Abstract: An active attentional sampling technology for accelerating background subtraction from input videos, more specifically, an active attentional sampling technology for accelerating background subtraction by removing background region from the input video and then applying foreground probability map and sampling mask according to temporal property, spatial property and frequency property of the input video in favor of the pixel-wise background subtraction algorithm is provided. The background subtraction is accomplished by generating active attentional sampling mask for input video and then processing each frame of the input video only for regions corresponding to the sampling mask, which renders the background subtraction be much accelerated. That is, the present invention successfully speeds up pixel-wise background subtraction methods approximately 6.6 times without deteriorating detection performance.

Abstract: An active attentional sampling technology for accelerating background subtraction from input videos, more specifically, an active attentional sampling technology for accelerating background subtraction by removing background region from the input video and then applying foreground probability map and sampling mask according to temporal property, spatial property and frequency property of the input video in favor of the pixel-wise background subtraction algorithm is provided. The background subtraction is accomplished by generating active attentional sampling mask for input video and then processing each frame of the input video only for regions corresponding to the sampling mask, which renders the background subtraction be much accelerated. That is, the present invention successfully speeds up pixel-wise background subtraction methods approximately 6.6 times without deteriorating detection performance.

Abstract: A method of processing an image by using an image processing apparatus is provided. The method includes acquiring, by the image processing apparatus, a target image, extracting a shape of a target object included in the target image, determining a category including the target object based on the extracted shape, and storing the target image by mapping the target image with additional information including at least one keyword related to the category.

Abstract: Provided are a method and apparatus for detecting an abnormal movement. The apparatus includes a feature tracing unit configured to extract features of a moving object in an input image, trace a variation in position of the extracted features according to time, and ascertain trajectories of the extracted features; a topic online learning unit configured to classify the input image in units of documents which are bundles of the trajectories, and ascertain probability distribution states of topics, which constitute the classified document, by using an online learning method which is a probabilistic topic model; and a movement pattern online learning unit configured to learn a velocity and a direction for each of the ascertained topics, and learn a movement pattern by inferring a spatiotemporal correlation between the ascertained topics.