May 12, 2023 · This paper presents our approach to integrating a deep-learning object detection framework with a UAV for surveillance purposes. The paper also ...
Jun 15, 2022 · Abstract. Pedestrian detection is a key ability required by most computer visions and crowd surveillance applications, with.
The research in the field of object detection and image classification has made a stride in the level of accuracy greater than 99% and the level of granularity.
PDF | Pedestrian detection is a key ability required by most computer visions and crowd surveillance applications, with several applications such as.
Autonomous pedestrian detection for crowd surveillance using deep ...
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The modified Yolov5 model outperforms the existing Faster-RCNN, SSD, and YOLO algorithms, according to real-world data experiments, and ensures better ...
The present work aims to study how deep learning approaches solve the safety problems in the interaction between autonomous vehicles and pedestrians.
This paper presents a simple, fast and very accurate approach by cascading fast regional detection and deep convolution networks.
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Sep 1, 2024 · The proposed method enables robust pedestrian detection despite modifications in arrival and pose, making it an operative solution for video ...
This survey paper provides an overview of pedestrian detection issues and the recent advances made in addressing them with the help of DL techniques.
This project provides a paper list about pedestrian detection following the taxonomy in "From Handcrafted to Deep Features for Pedestrian Detection: A Survey ( ...