This paper presents an extended algorithm for Real-time Compressive Tracking using Cosine Similarity Metric for object tracking. The method utilises a weighted multi-frame cosine similarity metric with the ground truth bounding box and a recently computed target bounding box. In comparison to the original algorithm it is capable of handling fast motion with a greater degree of accuracy. The proposed algorithm has been benchmarked on a desktop computer and subsequently implemented on a Texas Instruments ARM based DM3730 Beagleboard-xM. The proposed algorithm demonstrates a significant performance increase in fast motion video sequences. In addition, the low computational complexity of the algorithm makes it well suited for embedded applications.
- extended algorithm
- real time compressive tracking
- cosine similarity metric
- fast motion video sequence
Jenkins, M. D., Barrie, P., Buggy, T., & Morison, G. (2014). An extended Real-Time Compressive Tracking Method using weighted multi-frame Cosine Similarity Metric. In Education and Research Conference (EDERC), 2014 6th European Embedded Design in (pp. 147-151). IEEE. https://doi.org/10.1109/EDERC.2014.6924377