Abstract:
A passenger counting system that can count correctly the number of persons present in a vehicle, including persons sitting on the back seat, is provided. The passenger counting system includes an image capturing device 11 which is arranged outside the vehicle and which captures an image of the vehicle from the lateral direction of the vehicle, an image acquisition unit 31 that controls the image capturing device 11 and acquires an image in which the inside of the vehicle is captured as an input image, a profile detection unit 32 that detects a profile of a person from a partial image obtained from the input image based on an image feature amount calculated by using the partial image and outputs a detection result, and a passenger number determination unit 33 that determines the number of persons present in the vehicle based on the detection result.
Abstract:
An information processing apparatus (2000) includes a first analyzing unit (2020), a second analyzing unit (2040), and an estimating unit (2060). The first analyzing unit (2020) calculates a flow of a crowd in a capturing range of a fixed camera (10) using a first surveillance image (12). The second analyzing unit (2040) calculates a distribution of an attribute of objects in a capturing range of a moving camera (20) using a second surveillance image (22). The estimating unit (2060) estimates an attribute distribution for a range that is not included in the capturing range of the moving camera (20).
Abstract:
A machine learning apparatus 100 is an apparatus for constructing, by transfer learning, a second identification dictionary to be used in a second task from a first identification dictionary to be used in a first task. The machine learning apparatus 100 includes: a pseudo data generation unit 10 that generates pseudo data by processing one of real data in the first task and real data in the second task or both pieces of real data; and a learning unit 20 that constructs a third identification dictionary by performing, using the first identification dictionary, first transfer learning using the pseudo data as training data, and furthermore, constructs the second identification dictionary by performing, using the third identification dictionary, second transfer learning using the real data in the second task as training data.
Abstract:
An information processing apparatus is communicably connected to a link rule storage unit. The link rule storage unit stores a link rule. The link rule represents a criterion as to whether or not to link a plurality of pieces of trajectory data representing a trajectory of an object into one. Further, the link rule is a criterion for linking the plurality of pieces of trajectory data estimated to represent the trajectory of the same object. The information processing apparatus obtains a plurality of pieces of trajectory data, and classifies the obtained plurality of pieces of trajectory data into groups for each object. The information processing apparatus updates the link rule stored in the link rule storage unit by using the plurality of pieces of trajectory data classified into the groups.
Abstract:
An information processing apparatus (2000) includes a first analyzing unit (2020), a second analyzing unit (2040), and an estimating unit (2060). The first analyzing unit (2020) calculates a flow of a crowd in a capturing range of a fixed camera (10) using a first surveillance image (12). The second analyzing unit (2040) calculates a distribution of an attribute of objects in a capturing range of a moving camera (20) using a second surveillance image (22). The estimating unit (2060) estimates an attribute distribution for a range that is not included in the capturing range of the moving camera (20).
Abstract:
The disclosed embodiments include computer-implemented devices, systems, and methods that determine a position of a terminal device within a communications environment. In one embodiment, a positioning device may include a memory and one or more processors. The one or more processors may be configured to change a variable to be transmitted to a user device, to store the changed variable in the memory, and to output a first signal indicating that the user device is present in a predetermined area, based on a first variable received from the user device and the changed variable stored in the memory.
Abstract:
An information processing apparatus (2000) includes a first analyzing unit (2020), a second analyzing unit (2040), and an estimating unit (2060). The first analyzing unit (2020) calculates a flow of a crowd in a capturing range of a fixed camera (10) using a first surveillance image (12). The second analyzing unit (2040) calculates a distribution of an attribute of objects in a capturing range of a moving camera (20) using a second surveillance image (22). The estimating unit (2060) estimates an attribute distribution for a range that is not included in the capturing range of the moving camera (20).
Abstract:
A passenger counting system that can count correctly the number of persons present in a vehicle, including persons sitting on the back seat, is provided. The passenger counting system includes an image capturing device 11 which is arranged outside the vehicle and which captures an image of the vehicle from the lateral direction of the vehicle, an image acquisition unit 31 that controls the image capturing device 11 and acquires an image in which the inside of the vehicle is captured as an input image, a profile detection unit 32 that detects a profile of a person from a partial image obtained from the input image based on an image feature amount calculated by using the partial image and outputs a detection result, and a passenger number determination unit 33 that determines the number of persons present in the vehicle based on the detection result.
Abstract:
A passenger counting system that can count correctly the number of persons present in a vehicle, including persons sitting on the back seat, is provided. The passenger counting system includes an image capturing device 11 which is arranged outside the vehicle and which captures an image of the vehicle from the lateral direction of the vehicle, an image acquisition unit 31 that controls the image capturing device 11 and acquires an image in which the inside of the vehicle is captured as an input image, a profile detection unit 32 that detects a profile of a person from a partial image obtained from the input image based on an image feature amount calculated by using the partial image and outputs a detection result, and a passenger number determination unit 33 that determines the number of persons present in the vehicle based on the detection result.
Abstract:
An information processing apparatus (2000) includes a first analyzing unit (2020), a second analyzing unit (2040), and an estimating unit (2060). The first analyzing unit (2020) calculates a flow of a crowd in a capturing range of a fixed camera (10) using a first surveillance image (12). The second analyzing unit (2040) calculates a distribution of an attribute of objects in a capturing range of a moving camera (20) using a second surveillance image (22). The estimating unit (2060) estimates an attribute distribution for a range that is not included in the capturing range of the moving camera (20).