Abstract:
Provided are an image processing system, an image processing method, and a program capable of suitably performing the association of a person appearing in a picture in accordance with a highly reliable user input. This image processing system includes: an input unit for receiving an input of pictures captured by multiple video cameras; a person-to-be-tracked registration unit capable of registering one or more persons appearing in the pictures input from the input unit; a moving image display unit for displaying, on a display device, the pictures input by the input unit, and a UI generation unit capable of registering that the person appearing in the displayed pictures and the person registered by the person-to-be-tracked registration unit are the same person, or not the same person.
Abstract:
A monitoring device includes a crowd behavior analysis unit 21 and an abnormality degree calculation unit 24. The crowd behavior analysis unit 21 specifies a behavior pattern of a crowd from input video. The abnormality degree calculation unit 24 calculates an abnormality degree from a change of the behavior pattern.
Abstract:
First imaging means 60 creates a state image by capturing a state occurring in a first range. Second imaging means 70 creates a monitoring target image by capturing a monitoring target present in a second range. Specific state detection means 81 detects a specific state from the state image. Monitoring target analysis means 82 analyzes a status of a monitoring target, using the state image from which the specific state is detected. Monitoring target feature extraction means 85 extracts, from the monitoring target image, a feature used for specifying the monitoring target, based on the status of the monitoring target.
Abstract:
An action analysis device includes: an acoustic analysis unit 1 for analyzing input acoustic information, and generating acoustic analysis information indicating a feature of the acoustic information; a time difference determination unit 2 for determining a time difference between when an acoustic event identified by the acoustic analysis information occurs and when an event corresponding to the acoustic event occurs in input video obtained by capturing an image of a crowd; and an action analysis unit 3 for analyzing an action of the crowd corresponding to the acoustic event, using the input video, the acoustic analysis information, and the time difference.
Abstract:
An information processing system may include a memory storing instructions and one or more processors configured to execute the instructions to receive inputs of pictures imaged by a plurality of imaging apparatuses. The system may detect a moving body appearing in an inputted picture imaged by a first imaging apparatus among the plurality of imaging apparatuses. The system may predict a time period in which the moving body will appear in a picture imaged by a second imaging apparatus among the plurality of imaging apparatuses, based on a calculated probability that the moving body will appear in the picture imaged by the second imaging apparatus and an elapsed time after the moving body leaves an imaging range. The system may notify the predicted time period in which the moving body is predicted to appear in the picture imaged by the second imaging apparatus.
Abstract:
An information processing system includes an input unit which receives inputs of videos captured by a plurality of imaging apparatuses, a detection unit which detects a moving body appearing in a first video captured by a first imaging apparatus among the plurality of imaging apparatuses and a moving body appearing in a second video captured by a second imaging apparatus among the plurality of imaging apparatuses, a first computation unit which derives, on the basis of similarity between a feature value of the moving body appearing in the first video and a feature value of the moving body appearing in the second video, a first probability indicating a probability that both moving bodies are the same, a second computation unit which derives a second probability indicating a probability that the moving body appearing in the first video does not appear in the second video on the basis of an elapsed time after the moving body exits and disappears from the first video, and a determination unit which determines whether or not the moving body appearing in the first video and the moving body appearing in the second video are the same on the basis of a comparison between the first probability and the second probability.