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The datasets consist of aerial images and videos of sheep with scenarios of tightly clustered and isolated individuals. This ensures both sparse and dense object distributions within our dataset. The proposed approach is compared to a proven detection-based counting baseline. In this work, it is ...
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(PUCPR+ and CARPK) show the state-of-the-art counting and localizing performance of the proposed method in comparison with existing methods. Also, experiments have been conducted to examine the effect of data augmentation and batch normalization on the success of the proposed method. The code ...
Hsieh MR, Lin YL, Hsu WH (2017) Drone-based object counting by spatially regularized regional proposal network. In: Proceedings of the IEEE international conference on computer vision, pp 4145–4153 Hsu HJ, Chen KT (2015) Face recognition on drones: issues and limitations. In: Proceedings of...