Abstract: A video analytics based object counting method which can obtain and process video frames from one or more video sources is proposed. By setting a variety of parameters, calculating a reference point, and a mapping table, a sampled referenced image can be constructed to obtain image pixels variation information according to these parameters. With the changed value of multiple sampling line segments and the pre-defined reference object, total object counts can be estimated by analyzing the whole number of the triggered sampling line segments and their directional states.

Abstract: A video analytics based object counting method which can obtain and process video frames from one or more video sources is proposed. By setting a variety of parameters, calculating a reference point, and a mapping table, a sampled referenced image can be constructed to obtain image pixels variation information according to these parameters. With the changed value of multiple sampling line segments and the pre-defined reference object, total object counts can be estimated by analyzing the whole number of the triggered sampling line segments and their directional states.

Abstract: A method and a system for heart rate measurement are provided. The method includes: capturing at least one image, detecting skin-like points by using a skin color detector, labeling the skin-like points and tracking at least one target to be measured, taking statistics on color values of the target at multiple time points, measuring the heart rate through frequency transformation. The method and the system are easy to setup fully an automatic contact-free measurement of multiple persons' heart rates at a time, and applicable in multiple regions of human body for heart rate measurement such as head and neck, arm, and palm regions.