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All moving objects cast shadows, and while being under the source of light the shadow has small geometrical dimensions, with lateral lighting the size of the shadow may exceed the size of the object itself.

When the object moves, so does the shadow, thus increasing the motion area. If the video analytics module uses moving object identification, the shadow just increases the motion area and impedes object search in the motion zone (due to increased motion area), thus not affecting the accuracy of identification.

However, if the moving object is not identified by the video analytics module (for example, people count by the motion area size), it causes a great problem.

In such cases, a great solution is the shadow removal module, which allows unambiguously defining where the object’s boundaries end and its shadow begins.

Module «Moving objects counting» is being developed for IVISET intelligent software.

Moving objects counting is based on a crossing detector. The line crossing detector is a sensor that triggers when an object crosses a virtual line within the video camera’s field of vision.

Such a module is not only useful for controlling the system’s operability, but also allows decreasing the operator’s workload by several times. For example, one operator is quite capable of controlling a perimeter over 10 km, while dealing with other things until the alarm signal triggers.

IVISET software module detects the fact of and counts crossings of the line by a moving area. For accurate detection of the fact of crossing, tracking of the identified object is used (tracking of the moving area. It links the chain of frames. Thanks to this action, the video analytics module knows that the motion is performed by the same object. It also allows understanding the history and the nature of the object’s motion). Such an algorithm is the most efficient and quickest option of the object counting systems.

The motion detector module allows detecting a moving object that falls within the camera’s field of vision and simultaneously activating the event video recording function or sending a signal to the security console. Thus, the free space of data storages is saved, namely of the hard disk, memory card and flash stick. In the perimeter security systems, the disk space and network traffic saving amounts to tens or thousands times depending on the traffic of the controlled areas.

At the same time, the moving area tracking function has been implemented, which links the chain of frames. Thanks to this action, the video analytics module knows that the motion is performed by the same object, and the history and the nature of the objects’ motion is tracked.

Operating principle:

The background image is removed from the video stream. Using the neural network, motion areas are identified and analyzed, which results in the highest identification accuracy with low noise sensitivity. The result is transferred to the video analytics modules.