combine state of art deep neural network based detectors with most efficient trackers to solve motion based multiple objects tracking problems
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Updated
Nov 16, 2019 - C++
combine state of art deep neural network based detectors with most efficient trackers to solve motion based multiple objects tracking problems
Contains implementation of multi-threaded object detection followed by tracking
Embedded C++ code for using YOLOv3 and OpenCV (image manipulation, tracking using MedianFlow algorithm) in object detection and tracking using live camera feed from two Basler Dart cameras connected to the Raspberry Pi 4B.
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