Improved Hough transform by modeling context with conditional random fields for partially occluded pedestrian detection-Reference-Cited by-同舟云学术

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Improved Hough transform by modeling context with conditional random fields for partially occluded pedestrian detection

Published:2018-06-01 Issue:06 Volume:57 Page:1
ISSN:0091-3286
Container-title:Optical Engineering
language:
Short-container-title:Opt. Eng.

Author:

Jiang Linfeng¹,Xiong Huilin¹

Affiliation:

1. Shanghai Jiao Tong University, Department of Automation, Shanghai

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Engineering,Atomic and Molecular Physics, and Optics

Reference49 articles.

1. Robust Object Detection with Interleaved Categorization and Segmentation

2. Class-specific Hough forests for object detection;Gall,2013

3. Hough Forests for Object Detection, Tracking, and Action Recognition

4. On Detection of Multiple Object Instances Using Hough Transforms

5. Learning Structured Hough Voting for Joint Object Detection and Occlusion Reasoning

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Simulated Hough Transform Model Optimized for Straight-Line Recognition Using Frontier FPGA Devices;Electronics;2022-02-09

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