Deep learning for person re-identification: A survey and outlook
Person re-identification (Re-ID) aims at retrieving a person of interest across multiple non-
overlapping cameras. With the advancement of deep neural networks and increasing …
overlapping cameras. With the advancement of deep neural networks and increasing …
A comprehensive review on deep learning-based methods for video anomaly detection
Video surveillance systems are popular and used in public places such as market places,
shopping malls, hospitals, banks, streets, education institutions, city administrative offices …
shopping malls, hospitals, banks, streets, education institutions, city administrative offices …
[PDF][PDF] 智能视频监控技术综述
黄凯奇， 陈晓棠， 康运锋， 谭铁牛 - 计算机学报, 2015 - cjc.ict.ac.cn
摘要随着摄像头安装数量的日益增多, 以及智慧城市和公共安全需求的日益增长,
采用人工的视频监控方式已经远远不能满足需要, 因此智能视频监控技术应运而生并迅速成为 …
采用人工的视频监控方式已经远远不能满足需要, 因此智能视频监控技术应运而生并迅速成为 …
A comparative analysis of object detection metrics with a companion open-source toolkit
Recent outstanding results of supervised object detection in competitions and challenges
are often associated with specific metrics and datasets. The evaluation of such methods …
are often associated with specific metrics and datasets. The evaluation of such methods …
Mixed high-order attention network for person re-identification
Attention has become more attractive in person re-identification (ReID) as it is capable of
biasing the allocation of available resources towards the most informative parts of an input …
biasing the allocation of available resources towards the most informative parts of an input …
Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques
The rampant coronavirus disease 2019 (COVID-19) has brought global crisis with its deadly
spread to more than 180 countries, and about 3,519,901 confirmed cases along with …
spread to more than 180 countries, and about 3,519,901 confirmed cases along with …
Anomaly detection based on convolutional recurrent autoencoder for IoT time series
C Yin, S Zhang, J Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) realizes the interconnection of heterogeneous devices by the
technology of wireless and mobile communication. The data of target regions are collected …
technology of wireless and mobile communication. The data of target regions are collected …
Person re-identification: Past, present and future
Person re-identification (re-ID) has become increasingly popular in the community due to its
application and research significance. It aims at spotting a person of interest in other …
application and research significance. It aims at spotting a person of interest in other …
Joint detection and identification feature learning for person search
Existing person re-identification benchmarks and methods mainly focus on matching
cropped pedestrian images between queries and candidates. However, it is different from …
cropped pedestrian images between queries and candidates. However, it is different from …
Densely semantically aligned person re-identification
We propose a densely semantically aligned person re-identification (re-ID) framework. It
fundamentally addresses the body misalignment problem caused by pose/viewpoint …
fundamentally addresses the body misalignment problem caused by pose/viewpoint …