# Appearance based pedestrians’ head pose and body orientation estimation using deep learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/appearance-based-pedestrians-head-pose-and-body-orientation-estimation-using/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mudassar Raza,Zonghai Chen,Saeed Ur Rehman,Peng Wang,Bao Peng |
| Citations | 76 |
| DOI | 10.1016/j.neucom.2017.07.029 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2738279610 |
| Type | article |
| Year | 2017 |

## Paper authors

- [Peng Wang](https://scholariq.org/researchers/peng-wang/)

## Paper primary topic

- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)

## Paper topics

- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)
- [Face recognition and analysis](https://scholariq.org/topics/face-recognition-and-analysis/)
- [Human Pose and Action Recognition](https://scholariq.org/topics/human-pose-and-action-recognition/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.