Abstract: A feature amount calculation apparatus calculates a feature amount of a target object from image data, and is provided with: a feature value calculator that calculates an edge direction and edge magnitude as input image data pixel-unit feature values; a feature amount calculator that has an edge direction group calculator that calculates a group of edge directions, and a correlation value calculator that takes all pixels or predetermined pixels among a plurality of pixels used in feature value calculation as pixels subject to correlation value calculation and calculates an edge magnitude correlation value between the pixels subject to correlation value calculation for each feature value; and a histogram creator that counts feature amounts in a histogram for each correlation value, and creates a histogram as a feature vector.

Abstract: An object detecting apparatus capable of suppressing an increase of processing loads with high accuracy and a learning apparatus for the same are provided. An object detecting apparatus includes an image window extracting portion (210) for extracting an image window as a partial area of an image in plural from an input image, and a network identifier (590) for detecting a presence of an object from extracted image windows respectively by using a node network in which nodes each having an identifier for identifying the object stored in a storing portion (502) are connected as a network.

Abstract: A feature amount calculation apparatus is provided that enables an outline of an object such as a silhouette line of a person, and an important feature due to object outline and surrounding image changes, to be extracted by reducing the influence of background noise.

Abstract: A multimedia data recording apparatus is disclosed that enables large-volume recorded data to be recorded for a long period in accordance with the importance of the data, by means of a simple configuration and simple processing, and without imposing a heavy load on the system. In this apparatus, a layer classification section classifies video data captured by a surveillance camera and input via a video processing section into a plurality of layers on a frame-by-frame basis according to importance. A data recording section assigns a file to each layer and records classified data in a data recording medium. If an information amount reduction section detects that the vacant capacity of the data recording medium has reached or fallen below a threshold value, it deletes a frame belonging to the lowest layer among the plurality of layers.

Abstract: An object detecting apparatus capable of suppressing an increase of processing loads with high accuracy and a learning apparatus for the same are provided. An object detecting apparatus includes an image window extracting portion (210) for extracting an image window as a partial area of an image in plural from an input image, and a network identifier (590) for detecting a presence of an object from extracted image windows respectively by using a node network in which nodes each having an identifier for identifying the object stored in a storing portion (502) are connected as a network.

Abstract: A multimedia data recording apparatus is disclosed that enables large-volume recorded data to be recorded for a long period in accordance with the importance of the data, by means of a simple configuration and simple processing, and without imposing a heavy load on the system. In this apparatus, a layer classification section classifies video data captured by a surveillance camera and input via a video processing section into a plurality of layers on a frame-by-frame basis according to importance. A data recording section assigns a file to each layer and records classified data in a data recording medium. If an information amount reduction section detects that the vacant capacity of the data recording medium has reached or fallen below a threshold value, it deletes a frame belonging to the lowest layer among the plurality of layers.

Abstract: A video generation processing apparatus for generating a multi-angle video consisting of a base video and a related video that relates to the base video is obtained. A video database 105 in which video data and imaging position information as attribute information of respective video data are recorded is provided. When the user inputs a searching key by using displaying means 101, related-video condition generating means 103 acquires a video that meets the search key from the video database 105 and then decides related video conditions of the video based on information of the acquired video. Video searching/synthesizing means 104 generates a multi-angle video by synthesizing a video that meets the search key being input from the displaying means 101 and a video that meets the video conditions generated by the related-video condition generating means 103. Accordingly, the perusing of the monitoring video that can enhance a crime preventing effect and the user interface can be implemented.