Created on 6th March 2023
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It is a handy tool that has numerous applications such as security and surveillance, medical imaging, augmented reality, traffic control, video editing and communication, and human-computer interaction.
This system uses a deep learning algorithm to analyze sequential video frames, after which it tracks the movement of target objects between the frames. The two core components of this visual tracking system are:
Target representation and localization
Filtering and data association
During making of this project we face so many challenges in face detection, recognitation and especially in camera callibration.
Tracks Applied (1)
Technologies used