Unsupervised video object segmentation with joint hotspot tracking

L Zhang, J Zhang, Z Lin, R Měch, H Lu, Y He - Computer Vision–ECCV …, 2020 - Springer
… as autonomous driving, video surveillance and video editing. … i\)), our weighted correlation
block is more effective at our pixel-… We use the human eye gaze annotations from SALICON to …

Human crowd detection for city wide surveillance

DK Singh, S Paroothi, MK Rusia, MA Ansari - Procedia Computer Science, 2020 - Elsevier
… that is used for video surveillance and monitoring through … The system was tested using both
mobile hotspot and college … for extending the work to make it even more effective. It can be …

Towards real-time in-situ monitoring of hot-spot defects in L-PBF: A new classification-based method for fast video-imaging data analysis

M Bugatti, BM Colosimo - Journal of Intelligent Manufacturing, 2022 - Springer
… of low-cost machine vision systems and the advances in computational capabilities for
image and video processing have pushed the adoption of these systems for change detection …

Crime forecasting: a machine learning and computer vision approach to crime prediction and prevention

N Shah, N Bhagat, M Shah - Visual Computing for Industry, Biomedicine …, 2021 - Springer
… rates and is considered the most efficient ML algorithm for the … by a commercially available
video security device. In the first … and anticipate the zones of crime hotspots in a city. Law …

Urban video surveillance as a tool to improve security in public spaces

R Socha, B Kogut - Sustainability, 2020 - mdpi.com
… the potential benefits that Computer Vision Technology (CVT) … of the human operator is
shifted from manually mining video … images and response decision making. According to Norris …

Object as hotspots: An anchor-free 3d object detection approach via firing of hotspots

Q Chen, L Sun, Z Wang, K Jia, A Yuille - Computer Vision–ECCV 2020 …, 2020 - Springer
… composition of its interior non-empty voxels, termed hotspots, and the spatial relations of
hotspots. This gives rise to the representation of Object as Hotspots (OHS). Based on OHS, we …

Human-machine cooperative video anomaly detection

F Yang, Z Yu, L Chen, J Gu, Q Li, B Guo - … the ACM on human-computer …, 2021 - dl.acm.org
… events in video sequences in the field of computer vision due to … detection in complex video
surveillance scenes by learning … User privacy has also become a hot spot and challenge in …

Deep learning-based methods for anomaly detection in video surveillance: a review

A Berroukham, K Housni, M Lahraichi… - Bulletin of Electrical …, 2023 - beei.org
videos is one of the most popular computer vision topics. It is considered a challenging task
in video … The subway dataset [40] comprises 2 video sequences recorded at the access point

Applications of computer vision in monitoring the unsafe behavior of construction workers: Current status and challenges

W Liu, Q Meng, Z Li, X Hu - Buildings, 2021 - mdpi.com
human eyes, CV technology uses cameras and computers to … and research hotspots of CV
in the field of building safety are … , researchers tend to combine video cameras with HOG + …

Real-time human detection and counting system using deep learning computer vision techniques

H Mokayed, TZ Quan, L Alkhaled… - Artificial Intelligence …, 2023 - ojs.bonviewpress.com
… is far more efficient and effective without involving any human or … In Kuala Lumpur, Malaysia
alone, 150 Covid 19 hotspot … crowd threshold, parallel video recording for future search and …