Abstract: There is provided a neural network reduction device including: an input section configured to acquire a first neural network including a plurality of processing layers that includes at least one convolutional layer; a generation section configured to generate a third neural network in which at least one second neural network is connected as an additional layer to a stage subsequent to the convolutional layer included in the first neural network; a learning section configured to train the third neural network; a correction section configured to select, as a redundant channel, a channel whose feature value calculated on a basis of a weight parameter of the second neural network establishes a predetermined relationship with a predetermined threshold, delete the redundant channel from the convolutional layer, and correct a weight parameter of the convolutional layer after deletion of the redundant channel on a basis of at least a portion of the weight parameter of the second neural network; a relearning section c

Abstract: There is provided a neural network reduction device including: an input section configured to acquire a first neural network including a plurality of processing layers that includes at least one convolutional layer; a generation section configured to generate a third neural network in which at least one second neural network is connected as an additional layer to a stage subsequent to the convolutional layer included in the first neural network; a learning section configured to train the third neural network; a correction section configured to select, as a redundant channel, a channel whose feature value calculated on a basis of a weight parameter of the second neural network establishes a predetermined relationship with a predetermined threshold, delete the redundant channel from the convolutional layer, and correct a weight parameter of the convolutional layer after deletion of the redundant channel on a basis of at least a portion of the weight parameter of the second neural network; a relearning section c

Abstract: A tracking apparatus, including (1) a first target object tracking unit having a first processor, configured to correct a first information of at least one first candidate target object, detected by an image sensor, according to a first predetermined motion model, and to determine a distribution of the first information, (2) a second target object tracking unit including a second processor, configured to correct a second information of at least one second candidate target object, detected by an active type sensor, according to a second predetermined motion model, and to determine a distribution of the second information, (3) a matching unit configured to obtain a plurality of distribution parameters based on a correlation of the distributions of the first and second information, and (4) a false image determining unit configured to determine whether or not the second information corresponds to a false image based on the plurality of distribution parameters.

Abstract: A tracking apparatus, including (1) a first target object tracking unit having a first processor, configured to correct a first information of at least one first candidate target object, detected by an image sensor, according to a first predetermined motion model, and to determine a distribution of the first information, (2) a second target object tracking unit including a second processor, configured to correct a second information of at least one second candidate target object, detected by an active type sensor, according to a second predetermined motion model, and to determine a distribution of the second information, (3) a matching unit configured to obtain a plurality of distribution parameters based on a correlation of the distributions of the first and second information, and (4) a false image determining unit configured to determine whether or not the second information corresponds to a false image based on the plurality of distribution parameters.

Abstract: To improve the accuracy of the determination on whether or not a moving object is present in a predetermined region, a control device for use in a system configured to conduct presence-or-absence determination on whether or not a moving object is present on the basis of detection by a first sensor provided in a predetermined compartment region, the control device comprising: a mode control section configured to control switching of an operation mode for the detection by the first sensor or the presence-or-absence determination; and an acquisition section configured to acquire a determination result of whether or not a moving object is present in an adjacent region adjacent to the predetermined compartment region and not including the predetermined compartment region; wherein the mode control section controls the switching of the operation mode in response to the determination result acquired by the acquisition section, is provided.

Abstract: There is provided a period estimation apparatus including: a first frequency estimation unit that estimates a first frequency of a one-dimensional signal on the basis of a phase difference between the one-dimensional signal and a reference signal and a temporal change in the phase difference; and a second frequency estimation unit that estimates a second frequency of the one-dimensional signal by cutting out a comparative signal having a section length equivalent to a first period corresponding to the first frequency from the one-dimensional signal, and calculating a correlation coefficient between the comparative signal and the one-dimensional signal having the section length.

Abstract: There is provided a state determination device including: an acquisition unit configured to acquire information indicating a kinetic state of a moving object existing in a target space; a setting unit configured to set a plurality of subspaces in the space; a storage unit configured to store statistical information of kinetic states of the moving object acquired by the acquisition unit from the respective subspaces set by the setting unit; a model estimation unit configured to estimate a kinetic model of the moving object on the basis of the statistical information stored in the storage unit; and a determination unit configured to determine a state of the moving object by comparing the kinetic states of the moving object acquired by the acquisition unit with the kinetic model estimated by the model estimation unit.

Abstract: To improve the accuracy of the determination on whether or not a moving object is present in a predetermined region, a control device for use in a system configured to conduct presence-or-absence determination on whether or not a moving object is present on the basis of detection by a first sensor provided in a predetermined compartment region, the control device comprising: a mode control section configured to control switching of an operation mode for the detection by the first sensor or the presence-or-absence determination; and an acquisition section configured to acquire a determination result of whether or not a moving object is present in an adjacent region adjacent to the predetermined compartment region and not including the predetermined compartment region; wherein the mode control section controls the switching of the operation mode in response to the determination result acquired by the acquisition section, is provided.