Impoved RPN for Single Targets Detection based on the Anchor Mask Net
This addresses the challenge of detecting single targets in video images, which is vulnerable to interference from similar targets, though it appears incremental as it builds upon existing RPN methods.
The paper tackles the problem of single target detection in video images by proposing an anchor mask net that incorporates prior knowledge to improve Region Proposal Network (RPN) performance, achieving better results when tested on the VOT2016 dataset.
Common target detection is usually based on single frame images, which is vulnerable to affected by the similar targets in the image and not applicable to video images. In this paper , anchor mask is proposed to add the prior knowledge for target detection and an anchor mask net is designed to impove the RPN performance for single target detection. Tested in the VOT2016, the model perform better.