Abstract:
Methods and systems for crowd level estimation are provided. The system for crowd level estimation includes an input module and a crowd level estimation module. The input module receives an input image of a crowd and the crowd level estimation module estimates a crowd level of the crowd in the input image in response to a crowd density level.
Abstract:
A state acquisition unit (2020) acquires a state of a monitoring target in a captured image captured by a camera (3040). A monitoring point acquisition unit (2040) acquires, from a monitoring point information storage unit (3020), a monitoring point corresponding to the state of the monitoring target acquired by the state acquisition unit (2020) The monitoring point indicates a position to be monitored in the captured image. A presentation unit (2060) presents the monitoring point on the captured image.
Abstract:
The present invention provides an image processing system, an image processing method, and a program capable of suppressing confusion that may arise in a case where a target person is identified when tracking a person. An image processing system includes: a camera control unit which accepts input video images captured by a plurality of video cameras; a tracked person registering unit capable of registering one or more persons appearing in the video images inputted from the camera control unit; and a display screen generating unit which displays switchable windows of the video images inputted from the video cameras for each person registered by the tracked person registering unit.
Abstract:
Provided is an image processing apparatus (2000) including an index value calculation unit (2020) and a presentation unit (2040). The index value calculation unit (2020) acquires a plurality of images captured by a camera (3000) (captured images), and calculates an index value indicating the degree of change in the state of a monitoring target in the captured image, using the acquired captured image. The presentation unit (2040) presents an indication based on the index value calculated by the index value calculation unit (2020) on the captured image captured by the camera (3000).
Abstract:
Provided is an object detection device or the like which efficiently generates good-quality training data. This object detection device is provided with: a detection unit which uses a dictionary to detect objects from an input image; a reception unit which displays, on a display device, the input image accompanied by a display emphasizing partial areas of detected objects, and receives, from one operation of an input device, a selection of a partial area and an input of the class of the selected partial area; a generation unit which generates training data from the image of the selected partial area and the inputted class; and a learning unit which uses the training data to learn the dictionary.
Abstract:
A state acquisition unit (2020) acquires a state of a monitoring target in a captured image captured by a camera (3040). A monitoring point acquisition unit (2040) acquires, from a monitoring point information storage unit (3020), a monitoring point corresponding to the state of the monitoring target acquired by the state acquisition unit (2020). The monitoring point indicates a position to be monitored in the captured image. A presentation unit (2060) presents the monitoring point on the captured image.
Abstract:
To provide an information processing system, an information processing method, and a program, whereby it is possible, using a plurality of video camera videos, to desirably carry out person tracking. An information processing system includes: an appearance time score computation unit which computes a time from when a first mobile body exits a frame from a video of a first video camera to when a second mobile body enters a frame of a video of a second video camera; and a person association unit which, on the basis of an attribute of the first mobile body, a degree of similarity between the first mobile body and the second mobile body, and the time, determines whether the first mobile body and the second mobile body are the same mobile body.
Abstract:
A security analysis assistance apparatus 10 is an apparatus for assisting security analysis in a network system of an organization. The security analysis assistance apparatus 10 includes: an analysis target obtaining unit 11 that obtains an alert generated in the network system; an information obtaining unit 12 that obtains organization address information specifying at least departments forming the organization and addresses used in the respective departments; an analysis unit 13 that compares the obtained alert with the organization address information, and analyzes the occurrence tendency of the alert for each department of the organization; and a visualization unit 14 that visualizes a result of the analysis performed by the analysis unit 13.
Abstract:
An image processing apparatus according to the present invention includes: a position detecting unit configured to detect the position of a specific object in an image; a distribution generating unit configured to generate the distribution in the image of the specific object; and an imaging information generating unit configured to generate information used at the time capturing a new image based on the distribution.
Abstract:
Provided is an object detection device or the like which efficiently generates good-quality training data. This object detection device is provided with: a detection unit which uses a dictionary to detect objects from an input image; a reception unit which displays, on a display device, the input image accompanied by a display emphasizing partial areas of detected objects, and receives, from one operation of an input device, a selection of a partial area and an input of the class of the selected partial area; a generation unit which generates training data from the image of the selected partial area and the inputted class; and a learning unit which uses the training data to learn the dictionary.