# The Object Detection Method for Pedestrian Video Based on Improved YOLOv3

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/the-object-detection-method-for-pedestrian-video-based-on-improved-yolov3/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Zibo Feng,Fucheng You |
| Citations | 0 |
| DOI | 10.1145/3495018.3495116 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4233435045 |
| Type | conference-paper |
| Year | 2021 |

## Paper authors

- [Zibo Feng](https://scholariq.org/researchers/zibo-feng/)

## Paper primary topic

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

## Paper topics

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)
- [Fire Detection and Safety Systems](https://scholariq.org/topics/fire-detection-and-safety-systems/)

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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.