Pyramidal Part-Based Model for Partial Occlusion Handling in Pedestrian Classification
Pedestrian detection and classification are of increased interest in the intelligent transportation system (ITS), and among the challenging issues, we can find limitations of tiny and occluded appearances, large variation of human pose, cluttered background, and complex environment. In fact, a parti...
Saved in:
| Main Authors: | M. Thu, N. Suvonvorn |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2020/6153580 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Discriminative Deformable Part Model for Pedestrian Detection with Occlusion Handling
by: Shahzad Siddiqi, et al.
Published: (2025-04-01) -
Multi-Scale Feature Pyramid Network With Camera Artifact Augmentation for Pedestrian Detection
by: Ankit Shrivastava, et al.
Published: (2025-01-01) -
Natural Occlusion-Based Backdoor Attacks: A Novel Approach to Compromising Pedestrian Detectors
by: Qiong Li, et al.
Published: (2025-07-01) -
A small‐target traffic sign detection algorithm based on partial conv and atrous spatial pyramid
by: Yuqi Li, et al.
Published: (2024-12-01) -
Feature pyramid attention network for audio‐visual scene classification
by: Liguang Zhou, et al.
Published: (2025-04-01)