This paper proposes an occlusion-aware mechanism, used on a framework for detecting and tracking pedestrians in videos acquired from surveillance cameras.
The goal of this work is to develop a framework capable of detecting pedestrians in videos acquired from high-resolution surveillance cameras, as well as ...
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Thus, a pedestrian detection system has two aims: early detection and accurate tracking of the VRU. Intelligent vehicles have several sensors to cope with this ...
Jul 23, 2018 · In this paper, we propose a new occlusion-aware R-CNN (OR-CNN) to improve the detection accuracy in the crowd.
Jun 5, 2024 · In this paper, an efficient framework for counting pedestrians crossing a line of interest is proposed. Nowadays, the convolutional neural ...
This paper explores the research status of pedestrian detection in the past four years (2019–2022), focuses on analyzing the occlusion and scale problems of ...
Our detector is trained in an end-to-end fashion, which achieves state-of-the-art results on three pedestrian detection datasets, i.e., CityPersons, ETH, and ...
We propose an occlusion aware fusion of stereo camera and radar sensors to address scenarios with crossing pedestrians behind such parked vehicles. Our proposed ...
In this paper, an occlusion aware multi-modal sensor fusion system is proposed to address scenarios with crossing pedestrians behind parked vehicles. Our ...
Our occlusion-aware R-CNN detector follows the adaptive Faster R-CNN detec- tion framework [67] for pedestrian detection, with the new designed aggregation loss ...