A Lightweight Encryption Method for Privacy Protection in Surveillance Videos
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2820724
Abstract: Privacy protection of surveillance videos is an important issue because of the pervasiveness of surveillance cameras. Region of interest (RoI) privacy protection prefers encrypting limited privacy-sensitive areas to encrypting the entire video because of the… read more here.
Keywords: privacy; surveillance videos; privacy protection;
Privacy Protection in Surveillance Videos Using Block Scrambling-Based Encryption and DCNN-Based Face Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3211657
Abstract: Surely surveillance cameras are certainly important in all aspects of life. We have become in an era where we need to use surveillance cameras everywhere, homes, schools, banks, hospitals, and companies, even in the general… read more here.
Keywords: surveillance; privacy; detection; block scrambling ... See more keywords
Cross-Epoch Learning for Weakly Supervised Anomaly Detection in Surveillance Videos
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3117737
Abstract: Weakly Supervised Anomaly Detection (WSAD) in surveillance videos is a complex task since usually only video-level annotations are available. Previous work treated it as a regression problem by giving different scores on normal and anomaly… read more here.
Keywords: detection; weakly supervised; anomaly detection; surveillance videos ... See more keywords
V2AnomalyVec: Deep Discriminative Embeddings for Detecting Anomalous Activities in Surveillance Videos
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2021.3119957
Abstract: Understanding patterns in surveillance videos is always challenging due to the rapid movement of the crowd, occlusions, cluttered backgrounds, intraclass variations, and interclass similarities existing among normal and abnormal event classes. In the case of… read more here.
Keywords: anomalous events; detecting anomalous; deep discriminative; surveillance videos ... See more keywords
How to Assess the Quality of Compressed Surveillance Videos Using Face Recognition
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2018.2866701
Abstract: Video surveillance plays an important role in public security. To store the growing volume of surveillance videos, video compression is beneficial for reducing video volume; however, it is simultaneously harmful to the video quality. Video… read more here.
Keywords: video; face; quality; surveillance ... See more keywords
AI-Empowered Speed Extraction via Port-Like Videos for Vehicular Trajectory Analysis
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3167650
Abstract: Automated container terminal (ACT) is considered as port industry development direction, and accurate kinematic data (speed, volume, etc.) is essential for enhancing ACT operation efficiency and safety. Port surveillance videos provide much useful spatial-temporal information… read more here.
Keywords: port like; vehicle; vehicular trajectory; port ... See more keywords
An Automated Learning Framework With Limited and Cross-Domain Data for Traffic Equipment Detection From Surveillance Videos
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3195509
Abstract: Traffic equipment detection from surveillance videos is of practical significance for temporary traffic element update in high-precision maps. However, there is little relative research developed due to limited labeled data. Based on a detector dubbed… read more here.
Keywords: traffic equipment; framework; traffic; domain ... See more keywords
Person Retrieval in Surveillance Videos Via Deep Attribute Mining and Reasoning
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2020.3042068
Abstract: Person retrieval largely relies on the appearance features of pedestrians. This task is rather more difficult in surveillance videos due to the limitations of extracting robust appearance features brought by the cross-view and cross-camera data… read more here.
Keywords: attribute; surveillance videos; appearance; person retrieval ... See more keywords
Vision Transformer and Deep Sequence Learning for Human Activity Recognition in Surveillance Videos
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/3454167
Abstract: Human Activity Recognition is an active research area with several Convolutional Neural Network (CNN) based features extraction and classification methods employed for surveillance and other applications. However, accurate identification of HAR from a sequence of… read more here.
Keywords: surveillance videos; human activity; vision transformer; activity recognition ... See more keywords