Method and system for testing video analytics of a video surveillance system

A computer implemented method for analyzing one or more video analytics algorithms of a video surveillance system of a facility, the video surveillance system including a video camera having a field of view (FOV) that encompasses part of the facility, the method comprising:

• receiving a user input that identifies a selected video analytics algorithm from a plurality of video analytics algorithms for execution on a video stream captured by the video camera;
• generating simulated objects that are to be superimposed on a video stream captured by the video camera based at least in part on the selected video analytics algorithm identified by the user input, wherein generating the simulated objects includes:
• determining a plurality of characteristics of the simulated objects for analyzing the selected video analytics algorithm including one or more of:
• a quantity of the simulated objects in the FOV;
• a distribution of the simulated objects in the FOV;
• a starting point for each of the simulated objects in the FOV;
• a movement of each of the simulated objects in the FOV;
• superimposing the simulated objects with the plurality of characteristics on the FOV of the video stream captured by the video camera to create an augmented video stream;
• and
• processing the augmented video stream using the selected video analytics algorithm to analyze selected video analytics algorithm;
• wherein the plurality of characteristics of the simulated objects include one or more of:
• an object type of one or more of the simulated objects;
• a count related to a number of simulated objects;
• a distribution of two or more of the simulated objects;
• a starting point for one or more of the simulated objects;
• a speed of movement of one or more of the simulated objects;
• a variation in speed of movement of one or more of the simulated objects over time;
• a variation in speed of movement between two or more of the simulated objects;
• and
• a type of movement of one or more of the simulated objects;
• wherein the distribution of two or more of the simulated objects comprises a combination of at least two different distribution types selected from the group consisting of a Weilbull distribution, a Gaussian distribution, a Binomial distribution, a Poisson distribution, a Uniform distribution, a Random distribution, and a Geometric distribution.