Motorola Solutions, Inc.

Maksim Bolonkin

Aleksey Lipchin

Sergey Veselkov

Keshav T Seshadri

Yang Liu

Examples provide a video security system including an electronic processor configured to detect an anomaly by obtaining video data captured using an image sensor and determining a number of people detected in each of a plurality of frames of the video data. For each moment t, the electronic processor determines an average number of people n over a time interval (t-Δt, t), where Δtis greater than or equal to the moment t. For each non-overlapping time interval Δt, the electronic processor updates a histogram based on the average number of people for the time interval Δt. In response to determining, using the histogram, that the probability ρ of the average number of people n over the time interval (t-Δt, t) is less than a threshold probability ρ*, the electronic processor generates an alert indicating that an anomalous crowd size is detected.

Crowd anomaly detection

Examples provide an imaging system including an electronic processor configured to obtain video data of a scene including a region of interest including a plurality of frames, determine a total number of detected humans in the region of interest of a current frame of the plurality of frames, determine a number of running humans in the region of interest of the current frame, and determine a probability associated with the number of running humans in the region of interest of the current frame and the total number of detected humans in the region of interest of the current frame based on accumulated statistics for the region of interest. In response to determining that the probability is less than a threshold probability, the electronic processor generates an alert indicating a stampede is detected in the region of interest.

Stampede detection

Examples provide a video security system including an electronic processor configured to detect an anomaly by obtaining video data captured using an image sensor and determining a number of people detected in each of a plurality of frames of the video data. For each moment t, the electronic processor determines an average number of people n over a time interval (t−Δt1, t), where Δt1 is greater than or equal to the moment t. For each non-overlapping time interval Δt1, the electronic processor updates a histogram based on the average number of people for the time interval Δt1. In response to determining, using the histogram, that the probability ρ of the average number of people n over the time interval (t−Δt1, t) is less than a threshold probability ρ*, the electronic processor generates an alert indicating that an anomalous crowd size is detected.

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Waltham, MA, United States of America

Maksim Bolonkin