Abstract:
A frame storage stores an image obtained by imaging a region of at least part of the body of a user. A vital sign signal detector detects a signal sequence of a vital sign that cyclically varies from plural imaged regions of the body of the user by using captured images of a predetermined number of frames stored in the frame storage. A correlation calculator obtains the correlation between the signal sequences of the vital sign detected from the respective imaged regions of the body. An identity determining section determines whether or not the respective imaged regions of the body belong to the same user based on the correlation between the signal sequences of the vital sign detected from the respective imaged regions of the body.
Abstract:
Links are set among three hierarchical data 170, 172, and 174 and one moving image data 182. When a display area overlaps with a link area 176 while an image is being displayed by using the hierarchical data 170, switching to display by use of the 0-th hierarchical level of the hierarchical data 172 is made (link a). When the display area overlaps with a link area 178 while an image is being displayed by using the hierarchical data 172, switching to display by use of the 0-th hierarchical level of the hierarchical data 174 is made (link b). The link destination of another link area 180 of the hierarchical data 170 is the moving image data 182 (link c) and moving image reproduction is started as a result of zoom-up of this area. The hierarchical data 170 and 172 are held on the client terminal side and the data existing on the other side of a switching boundary 184 are transmitted by a server to the client terminal in a data stream format.
Abstract:
An image synthesis unit receives respective pixel values for a single horizontal row of a ¼ demosaiced image, a 1/16 demosaiced image, and a 1/64 demosaiced image from a pyramid filter for reducing, in a plurality of stages, a frame of a moving image that is captured. The image synthesis unit then connects the pixel values in a predetermined rule so as to generate a virtual synthesized image and outputs the synthesized image in the form of streams. A control unit of an image transmission unit notifies a data selection unit of a request from a host terminal. The data selection unit selects and extracts necessary data from respective streams of pieces of data of the synthesized image, a RAW image, and a 1/1 demosaiced image, and generates a stream of data to be transmitted. A packetizing unit packetizes the stream and transmits the packetized stream to the host terminal.
Abstract:
[Object] To perform more stable and highly accurate attitude estimation.[Solution] The attitude optimization unit optimizes the articulation position, the angle, the number of articulations, and the like which are attitude parameters of a human body model (tree structure) by a plurality of optimization techniques so as to match a region in which a human body can exist, and switches among a plurality of optimization techniques and uses an optimum technique. Note that optimization techniques include 1. initial value, 2. algorithm, and 3, restriction, and optimization is performed by switching among these three. For example, it is possible to apply the present disclosure to an image processing device that performs image processing of optimizing the articulation position and angle of a human body model.
Abstract:
Provided is an image processing apparatus including a hand shape recognition unit that performs hand shape recognition on an input image to detect a position and a size of a hand with a specific shape in the input image, a determination region setting unit that sets a region in a vicinity of the hand on the input image as a determination region used to recognize a gesture performed using the hand, based on the position and the size of the hand, and a gesture recognition unit that recognizes the gesture by monitoring movement of the hand to the determination region.
Abstract:
Provided is an image processing apparatus including a hand shape recognition unit that performs hand shape recognition on an input image to detect a position and a size of a hand with a specific shape in the input image, a determination region setting unit that sets a region in a vicinity of the hand on the input image as a determination region used to recognize a gesture performed using the hand, based on the position and the size of the hand, and a gesture recognition unit that recognizes the gesture by monitoring movement of the hand to the determination region.
Abstract:
[Object] To perform more stable and highly accurate attitude estimation. [Solution] The attitude optimization unit optimizes the articulation position, the angle, the number of articulations, and the like which are attitude parameters of a human body model (tree structure) by a plurality of optimization techniques so as to match a region in which a human body can exist, and switches among a plurality of optimization techniques and uses an optimum technique. Note that optimization techniques include 1. initial value, 2. algorithm, and 3, restriction, and optimization is performed by switching among these three. For example, it is possible to apply the present disclosure to an image processing device that performs image processing of optimizing the articulation position and angle of a human body model.