Learning pixel-level and instance-level context-aware features for pedestrian detection in crowds
Pedestrian detection in crowded scenes is an intractable problem in computer vision, in
which occlusion often presents a great challenge. In this paper, we propose a novel context …
which occlusion often presents a great challenge. In this paper, we propose a novel context …
Global context-aware feature extraction and visible feature enhancement for occlusion-invariant pedestrian detection in crowded scenes
The research in pedestrian detection has made remarkable progress in recent years.
However, robust pedestrian detection in crowded scenes remains a considerable challenge …
However, robust pedestrian detection in crowded scenes remains a considerable challenge …
Occlusion-aware R-CNN: Detecting pedestrians in a crowd
Pedestrian detection in crowded scenes is a challenging problem since the pedestrians
often gather together and occlude each other. In this paper, we propose a new occlusion …
often gather together and occlude each other. In this paper, we propose a new occlusion …
Pedhunter: Occlusion robust pedestrian detector in crowded scenes
Pedestrian detection in crowded scenes is a challenging problem, because occlusion
happens frequently among different pedestrians. In this paper, we propose an effective and …
happens frequently among different pedestrians. In this paper, we propose an effective and …
Box guided convolution for pedestrian detection
Occlusions, scale variation and numerous false positives still represent fundamental
challenges in pedestrian detection. Intuitively, different sizes of receptive fields and more …
challenges in pedestrian detection. Intuitively, different sizes of receptive fields and more …
PCN: Part and context information for pedestrian detection with CNNs
Pedestrian detection has achieved great improvements in recent years, while complex
occlusion handling is still one of the most important problems. To take advantage of the body …
occlusion handling is still one of the most important problems. To take advantage of the body …
A boosted multi-task model for pedestrian detection with occlusion handling
Pedestrian detection is a challenging problem in computer vision, and has achieved
impressive progress in recent years. However, the current state-of-the-art methods suffer …
impressive progress in recent years. However, the current state-of-the-art methods suffer …
See extensively while focusing on the core area for pedestrian detection
Z Fu, Y Chen, R Jiang - IEEE Access, 2019 - ieeexplore.ieee.org
Pedestrian detection attracts much attention from the academic community since it is an
essential and significant component of autonomous driving. Despite many similarities with …
essential and significant component of autonomous driving. Despite many similarities with …
Attribute-aware pedestrian detection in a crowd
Pedestrian detection is an initial step to perform outdoor scene analysis, which plays an
essential role in many real-world applications. Although having enjoyed the merits of deep …
essential role in many real-world applications. Although having enjoyed the merits of deep …
MGA-YOLOv4: a multi-scale pedestrian detection method based on mask-guided attention
T Wang, L Wan, L Tang, M Liu - Applied Intelligence, 2022 - Springer
To solve the problem of numerous deep convolutions in YOLOv4, which generates many
redundant background features so that it cannot focus on pedestrians at a specific scale, we …
redundant background features so that it cannot focus on pedestrians at a specific scale, we …