Abstract: A method for detecting an object includes inputting information of a moving object included in a plurality of images and generating a regression tree. In response to input of a new image, the system communicates information of a moving object included in the newly inputted image into the regression tree, and determines a size of a person included in the new image based on a resultant value of the regression tree.

Abstract: An apparatus and a method for recognizing a human body in a hybrid manner are provided. The method includes calculating body information used for recognizing a human body from an input image, detecting a region of the human body in a learning-based human body recognition manner by using the calculated body information, and tracing a movement of the detected region of the human body in a modeling-based human body recognition manner. Thereby, it is possible to quickly perform more accurate and precise recognition of the human body.

Abstract: A method of estimating an orientation of a body is provided. The method includes determining a reference point based on a first region of a body, calculating a translation matrix of a world coordinate system based on the reference point; determining a first vector based on the reference point and a second region of the body, calculating a first rotation matrix rotated by an angle ? about a first rotation vector, which is perpendicular to the first vector and a Z-axis of the world coordinate system, as a first rotation axis, determining a second vector based on the first vector and a third region of the body, calculating a second rotation matrix rotated by an angle ? about the Z-axis of the world coordinate system as a second rotation axis, and calculating a transformation matrix based on the translation matrix, the first rotation matrix, and the second rotation matrix.

Abstract: An apparatus configured to estimate a position of a part of an object in an image includes: an image receiver configured to receive the image; a reference point setter configured to set a reference point in the image; a controller configured to generate information about the reference point by repeating a process a predetermined number of times, the process comprising obtaining one piece of direction information about a probability and a direction that the reference point is to be moved to the part of the object by a classifier, and resetting the reference point by moving the reference point a predetermined distance based on the one piece of direction information; and a location estimator configured to estimate a position of the part of the object in the image by using the information about the reference point as the reference point is reset the predetermined number of times.

Abstract: A method for detecting an object includes inputting information of a moving object included in a plurality of images and generating a regression tree. In response to input of a new image, the system communicates information of a moving object included in the newly inputted image into the regression tree, and determines a size of a person included in the new image based on a resultant value of the regression tree.

Abstract: A counting method and apparatus are provided. The method and/or apparatus includes generating a regression tree by inputting information about a moving object contained in a plurality of images, in response to a new image being input, inputting information about a moving object contained in the new input image to the regression tree, and determining the number of people contained in the new image based on a result value of the regression tree.

Abstract: An apparatus configured to estimate a position of a part of an object in an image includes: an image receiver configured to receive the image; a reference point setter configured to set a reference point in the image; a controller configured to generate information about the reference point by repeating a process a predetermined number of times, the process comprising obtaining one piece of direction information about a probability and a direction that the reference point is to be moved to the part of the object by a classifier, and resetting the reference point by moving the reference point a predetermined distance based on the one piece of direction information; and a location estimator configured to estimate a position of the part of the object in the image by using the information about the reference point as the reference point is reset the predetermined number of times.

Abstract: A method of estimating an orientation of a body is provided. The method includes determining a reference point based on a first region of a body, calculating a translation matrix of a world coordinate system based on the reference point; determining a first vector based on the reference point and a second region of the body, calculating a first rotation matrix rotated by an angle a about a first rotation vector, which is perpendicular to the first vector and a Z-axis of the world coordinate system, as a first rotation axis, determining a second vector based on the first vector and a third region of the body, calculating a second rotation matrix rotated by an angle ? about the Z-axis of the world coordinate system as a second rotation axis, and calculating a transformation matrix based on the translation matrix, the first rotation matrix, and the second rotation matrix.

Abstract: An apparatus and a method for recognizing a human body in a hybrid manner are provided. The method includes calculating body information used for recognizing a human body from an input image, detecting a region of the human body in a learning-based human body recognition manner by using the calculated body information, and tracing a movement of the detected region of the human body in a modeling-based human body recognition manner. Thereby, it is possible to quickly perform more accurate and precise recognition of the human body.