摘要:
An information processing device includes a first calculation unit which calculates a score of each sample image including a positive image in which an object as an identification object is present and a negative image in which the object as the identification object is not present, for each weak identifier of an identifier including a plurality of weak identifiers, a second calculation unit which calculates the number of scores when the negative image is processed, which are scores less than a minimum score among scores when the positive image is processed; and an realignment unit which realigns the weak identifiers in order from a weak identifier in which the number calculated by the second calculation unit is a maximum.
摘要:
A learning control apparatus for controlling a learning operation of an apparatus sensing a state of an environment and selecting a behavior based on the sensed content, includes a predictor for learning the behavior and a change in the state of the environment, and predicting a change in the state of the environment in response to a predetermined behavior, a goal state setting unit for setting a goal state in the behavior, a planner for planning a behavior sequence from a current state to the goal state set by the goal state setting unit based on a prediction of the predictor, and a controller for controlling the behavior in the behavior sequence planned by the planning unit and learning an input and output relationship in the behavior.
摘要:
A facial expression recognition system that uses a face detection apparatus realizing efficient learning and high-speed detection processing based on ensemble learning when detecting an area representing a detection target and that is robust against shifts of face position included in images and capable of highly accurate expression recognition, and a learning method for the system, are provided. When learning data to be used by the face detection apparatus by Adaboost, processing to select high-performance weak hypotheses from all weak hypotheses, then generate new weak hypotheses from these high-performance weak hypotheses on the basis of statistical characteristics, and select one weak hypothesis having the highest discrimination performance from these weak hypotheses, is repeated to sequentially generate a weak hypothesis, and a final hypothesis is thus acquired. In detection, using an abort threshold value that has been learned in advance, whether provided data can be obviously judged as a non-face is determined every time one weak hypothesis outputs the result of discrimination. If it can be judged so, processing is aborted. A predetermined Gabor filter is selected from the detected face image by an Adaboost technique, and a support vector for only a feature quantity extracted by the selected filter is learned, thus performing expression recognition.
摘要:
An image transmission device and method, a transmitting device and method, a receiving device and method, and robot apparatus are capable of effectively transmitting the image data of multiple channels by using the existing systems which are formed on the premise of transmitting and receiving of the image data through single transmission line. At a transmitting side, the image data of multiple channels to be input is multiplexed with switching the channels by frame, and prescribed image information is added to each of the multiplexed image data of each frame. At a receiving side, the image information added to each of the image data for each frame respectively transmitted from the transmitting device are analyzed, and dividing device for dividing for each frame and outputting the multiplexed image data transmitted from the transmitting device to the corresponding channels is provided based on the analysis result.
摘要:
A robot apparatus includes face includes a face tracking module (M2) for tracking a face in an image photographed by a CCD camera, a face detecting module (M1) for detecting face data of the face in the image photographed by the image pickup device, based on the face tracking information by the face tracking module (M2) and a face identification module (M3) for identifying a specified face based on the face data as detected by the face data detecting module (M1).
摘要:
An information processing apparatus includes a higher node having a plurality of weak discriminators that have learned a learning sample of a first label and a learning sample of a second label that has a predetermined coordinate relationship with the learning sample of the first label, a first lower node having a plurality of weak discriminators that have learned the learning sample of the first label based on the discrimination result of the higher node and a second lower node that has no weak discriminator.
摘要:
An image transmission device and method, a transmitting device and method, a receiving device and method, and robot apparatus are capable of effectively transmitting the image data of multiple channels by using the existing systems which are formed on the premise of transmitting and receiving of the image data through single transmission line. At a transmitting side, the image data of multiple channels to be input is multiplexed with switching the channels by frame, and prescribed image information is added to each of the multiplexed image data of each frame. At a receiving side, the image information added to each of the image data for each frame respectively transmitted from the transmitting are analyzed, and dividing for dividing for each frame and outputting the multiplexed image data transmitted from the transmitting to the corresponding channels is provided based on the analysis result.
摘要:
A robot apparatus includes face includes a face tracking module (M2) for tracking a face in an image photographed by a CCD camera, a face detecting module (M1) for detecting face data of the face in the image photographed by the image pickup device, based on the face tracking information by the face tracking module (M2) and a face identification module (M3) for identifying a specified face based on the face data as detected by the face data detecting module (M1).
摘要:
In a robot apparatus and a control method therefor, firstly, partial or whole state space of a behavioral model is expanded or reduced, secondly, transition to a predetermined node in the behavioral model is described as transition to a virtual node and a node group to be allotted to the virtual node is sequentially changed, thirdly, the number of emotions and/or desires which are used for generating actions is gradually increased, and fourthly, an environment is evaluated to update each sensitivity corresponding to each emotion and desire, on the basis of the evaluated. In the robot apparatus and the character discriminating method for the robot apparatus, a pet robot is provided with: detecting means for detecting outputs from other pet robots; character discriminating means for discriminating characters of the pet robots on the basis of the result detected by the detecting means; and character changing means for changing the character on the basis of the result judged by the character discriminating means.
摘要:
Each of plural image processing means is informed of address information of storage means in which image data to be read is stored upon request of the image data to be read by each of the plural image processing means. Consequently, each of the image processing means can read each of image data to be read directly from the storage means based on the informed address information so as to subject it to predetermined image processing. Thus, it is possible to perform plural independent image processing in parallel at a high speed with the simple configuration.