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Video surveillance dataset
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Deep Learning is known as the most powerful technique for handling almost Computer Vision problems. Many state-ofthe-art methods in face recognition focus on recognition from still images. In this paper, we propose a method of combining face tracking and face representation for still images to increase high accuracy rate in the setting of camera surveillance.
8p
vijihyo2711
25-09-2021
11
2
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This paper resolves the problem of detecting small drones in surveillance videos using deep learning algorithms. Single Shot Detector (SSD) object detection algorithm and MobileNet-v2 architecture as the backbone were used for our experiments. The pretrained model was re-trained on custom drone synthetic dataset by using transfer learning’s fine-tune technique. The results of detecting drone in our experiments were around 90.8%.
10p
cothumenhmong12
08-07-2021
33
1
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