Nov 29, 2023 · To address the chanllenge of capuring long-range dependencies among images features and enhancing their semantic information, the YOLOV5 incorporating the Large ...

May 29, 2024 · Through rigorous experiments on established pedestrian detection datasets, we demonstrate that our algorithm not only elevates pedestrian detection accuracy in ...

Dec 21, 2023 · [37] developed a multispectral pedestrian single-shot detection method that integrates visible and infrared image information to balance accuracy and speed.

Jan 15, 2024 · Pedestrian detection from a drone-based images has many potential applications such as searching for missing persons, surveillance of illegal immigrants, ...

May 4, 2024 · We validate privacy preservation by training Pedestrian Attribute Recognition (PAR) models on obfuscated data using labels from the original data, positing that ...

Oct 26, 2023 · Early research, based on a single image to detect pedestrians, showed that it is difficult to recover the depth information. Although this was later ...

Dec 5, 2023 · In this work, we address this need by comparing 6 different DL architectures on a novel dataset composed of IR images collected from a commercial 8x8 array, ...

2 days ago · This paper proposes a pedestrian detection model, YOLO-RAD, tailored specifically for dense scenes to address the challenge of low detection accuracy caused by ...

Apr 11, 2024 · In this paper, we detect vehicles and pedestrians on the road while the car is traveling, and there is a need to enhance both the detection speed and accuracy; ...