A binocular image fusion approach for minimizing false positives in handgun detection with deep learning.

•This paper proposes a novel binocular image approach that makes the detection model focus on the area of interest.•We built a low cost symmetric dual camera system to compute the disparity map and exploit that information to improve the selection of candidate regions in the input frames.•The proposed approach reduces the number of false positives in the test videos by 49.47%.