Grounded human-object interaction hotspots from video

T Nagarajan, C Feichtenhofer… - … on Computer Vision, 2019 - openaccess.thecvf.com
… Today’s visual recognition systems know how objects look, but not how they work. Understanding
how objects function is fundamental to moving beyond passive perceptual systems (eg.…

Edge video analytics for public safety: A review

Q Zhang, H Sun, X Wu, H Zhong - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
… is to collectively leverage the advanced computer vision (CV) … Video-based telemedicine is
one of the most effective ways … ECN connected to the same access point or base station with …

[HTML][HTML] A computer vision-based roadside occupation surveillance system for intelligent transport in smart cities

GTS Ho, YP Tsang, CH Wu, WH Wong, KL Choy - Sensors, 2019 - mdpi.com
Video surveillance has drawn the attention of scientists and … an access point, together with
a radio and a more powerful … , tasks that are performed by the human visual system. In fact, …

RetailNet: A deep learning approach for people counting and hot spots detection in retail stores

V Nogueira, H Oliveira, JA Silva… - … on graphics, patterns …, 2019 - ieeexplore.ieee.org
… of videos that were collected from a surveillance camera placed in … We also present a case
study on hot spot detection of the … Our approach addresses two relevant computer vision prob…

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 …

[HTML][HTML] 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 …

[HTML][HTML] 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 …

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 …

[HTML][HTML] 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 …

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