Abstract:
Provided are a pedestrian tracking and counting method and device for a near-front top-view monitoring video, wherein the method includes that a video image under a current monitoring scene is acquired, the acquired video image is compared with a background image, and when it is determined that the video image is a foreground image, each blob in the foreground image is segmented and combined to acquire a target blob representing an individual pedestrian, and tracking and counting are performed according to the centre-of-mass coordinate of each target blob in a detection area to acquire the number of pedestrians under the current monitoring scene. Thus the accuracy of a counting result can be improved.
Abstract:
A method, apparatus and system for acquiring headcount are provided. Data frames are acquired from a surveillance video, object models are set in the data frames, and a foreground image is extracted from the data frames, wherein the foreground image includes moving objects extracted from the data frames; the moving objects in the foreground image is matched with the object models, the headcount in corresponding data frames is acquired according to a result of the matching, characteristics of the matched moving objects are extracted, and the corresponding moving objects are tracked based on the characteristics; the actual headcount for a predetermined time segment of the surveillance video is acquired based on a result of the tracking and the acquired headcount for each of the data frames, wherein the result of the tracking includes: an indication of whether some or all of the data frames includes a same moving object.
Abstract:
A method, apparatus and system for acquiring headcount are provided. Data frames are acquired from a surveillance video, object models are set in the data frames, and a foreground image is extracted from the data frames, wherein the foreground image includes moving objects extracted from the data frames; the moving objects in the foreground image is matched with the object models, the headcount in corresponding data frames is acquired according to a result of the matching, characteristics of the matched moving objects are extracted, and the corresponding moving objects are tracked based on the characteristics; the actual headcount for a predetermined time segment of the surveillance video is acquired based on a result of the tracking and the acquired headcount for each of the data frames, wherein the result of the tracking includes: an indication of whether some or all of the data frames includes a same moving object.
Abstract:
Provided are a pedestrian tracking and counting method and device for a near-front top-view monitoring video, wherein the method includes that a video image under a current monitoring scene is acquired, the acquired video image is compared with a background image, and when it is determined that the video image is a foreground image, each blob in the foreground image is segmented and combined to acquire a target blob representing an individual pedestrian, and tracking and counting are performed according to the center-of-mass coordinate of each target blob in a detection area to acquire the number of pedestrians under the current monitoring scene. Thus the accuracy of a counting result can be improved.
Abstract:
An intelligent monitoring terminal and a video monitoring method are disclosed. The intelligent monitoring terminal comprises: an acquiring component, configured to acquire video data; a monitoring component, configured to monitor whether an object enters a monitoring range or not, and send a monitoring result to a controlling component; and the controlling component, configured to, when the monitoring component determines that an object enters the monitoring range, control the acquiring component to aim at the monitored object, acquire a video image of the object, and control a warning component to give an alarm. The intelligent monitoring terminal of the disclosure is controlled by a monitoring controller in a normal condition, independently processes an unexpected event in the case of emergency, solves the defect existing in current monitoring terminals, greatly enhances the capabilities such as monitoring, protection, forensics thereof, and exerts the protected, and value maximization is realized.