Documentation for Detector Pack 2.7. Documentation for other versions of Detector Pack is available too.

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A neurotracker is designed for detecting any objects in a video image and calculating the metadata. The neurotracker operation involves the use of a neural network, which allows to reduce the computation load and improve the quality of the object detection. Any detection tool can be implemented on the basis of the neurotracker. The neurotracker independently receives the necessary tracks, both with moving and with completely motionless (during the whole analysis period) objects. As in all situations related to neuroanalysis, the quality of work and the resource consumption of the neurotracker directly depend on the optimization of the neural network model used.

Before you start setting up the neural tracker, you should contact the AxxonSoft technical support and request the model files of the trained neural networks. Technical support specialists will request from you the data needed to prepare the models, and then will provide you with the *.ann and *.txt files for each neurotracker model. These files should be distributed to all Servers where it is planned to use the neurotracker.

The following objects can be created on the basis of the neurotracker:

  • Neurotracker counter (for periodical events notifying about the number objects received from the neurotracker).
  • VMDA detection tools: Line crossing, Motion in the area (you can configure some actions in the system on triggering of VMDA detection tools).