A Method of Face Detection with Deep Models for Patrol Videos

机译：一种深度模型的巡逻视频人脸检测方法

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

Common face detection methods may fail in videos captured by patrol cars for the low resolution and uncooperative situation. We proposed a method to handle this problem with a parts-based deep model. Different parts of human bodies are detected for improving the accuracy of face detection in this method. A deep neural network is used for combining the detections of different parts. Experiments were conducted on two different datasets. The results demonstrate that the proposed method outperforms existing common face detection methods.

机译：对于低分辨率和不配合的情况，常见的面部检测方法可能在巡逻车拍摄的视频中失败。我们提出了一种基于零件的深度模型来解决此问题的方法。通过该方法检测人体的不同部位，以提高面部检测的准确性。深度神经网络用于组合不同部分的检测。实验是在两个不同的数据集上进行的。结果表明，该方法优于现有的普通人脸检测方法。

著录项

来源
《International Conference on Digital Image Processing》|2015年|96311B.1-96311B.5|共5页
会议地点
作者
Baozhi Jia; Ming Zhu;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类
关键词
Face detection; Patrol video; Parts-based model; Deep model;

机译：人脸检测巡视视频;基于零件的模型;深层模型;

相似文献

外文文献
中文文献
专利

1. Overview of deep-learning based methods for salient object detection in videos [J] . Pattern Recognition: The Journal of the Pattern Recognition Society . 2020,第期

机译：基于深度学习的方法概述视频中的突出对象检测
2. An Overview of Deep Learning Based Methods for Unsupervised and Semi-Supervised Anomaly Detection in Videos [J] . B. Ravi Kiran, Dilip Mathew Thomas, Ranjith Parakkal Journal of Imaging . 2018,第2期

机译：基于深度学习的视频中无监督和半监督异常检测方法的概述
3. Automated Anomaly Detection and Localization in Sewer Inspection Videos Using Proportional Data Modeling and Deep Learning-Based Text Recognition [J] . Moradi Saeed, Zayed Tarek, Nasiri Fuzhan, Journal of Infrastructure Systems . 2020,第3期

机译：使用比例数据建模和基于深度学习的文本识别下水道检查视频中的自动化异常检测和定位
4. A Method of Face Detection with Deep Models for Patrol Videos [C] . Baozhi Jia, Ming Zhu International Conference on Digital Image Processing . 2015

机译：巡逻视频深层模型的脸部检测方法
5. DeepFakes Detection in Videos Using Feature Engineering Techniques in Deep Learning Convolution Neural Network Frameworks [D] . Burroughs, Sonya. 2021

机译：使用深度学习卷积神经网络框架的特征工程技术在视频中检测视频
6. Real-Time Human Detection for Aerial Captured Video Sequences via Deep Models [O] . Nouar AlDahoul, Aznul Qalid Md Sabri, Ali Mohammed Mansoor 2018

机译：通过深度模型对空中捕获的视频序列进行实时人体检测
7. An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videos [O] . Kiran, B Ravi, Thomas, Dilip Mathew, Parakkal, Ranjith 2018

机译：基于深度学习的无监督和无人值守方法综述视频中的半监督异常检测

A Method of Face Detection with Deep Models for Patrol Videos

摘要

著录项

相似文献

相关主题

期刊订阅