Abandoned object detection in video-surveillance: survey and comparison
During the last few years, abandoned object detection has emerged as a hot topic in the
video-surveillance community. As a consequence, a myriad of systems has been proposed …
video-surveillance community. As a consequence, a myriad of systems has been proposed …
Improved Otsu and Kapur approach for white blood cells segmentation based on LebTLBO optimization for the detection of Leukemia.
The diagnosis of leukemia involves the detection of the abnormal characteristics of blood
cells by a trained pathologist. Currently, this is done manually by observing the …
cells by a trained pathologist. Currently, this is done manually by observing the …
Automated real-time detection of potentially suspicious behavior in public transport areas
Detection of suspicious activities in public transport areas using video surveillance has
attracted an increasing level of attention. In general, automated offline video processing …
attracted an increasing level of attention. In general, automated offline video processing …
Stopped object detection by learning foreground model in videos
L Maddalena, A Petrosino - IEEE transactions on neural …, 2013 - ieeexplore.ieee.org
The automatic detection of objects that are abandoned or removed in a video scene is an
interesting area of computer vision, with key applications in video surveillance. Forgotten or …
interesting area of computer vision, with key applications in video surveillance. Forgotten or …
Detection of stationary foreground objects: A survey
Detection of stationary foreground objects (ie, moving objects that remain static throughout
several frames) has attracted the attention of many researchers over the last decades and …
several frames) has attracted the attention of many researchers over the last decades and …
Ownership of abandoned object detection by integrating carried object recognition and context sensing
NS Russel, A Selvaraj - The Visual Computer, 2024 - Springer
Abandoned baggage poses a potential threat to public safety, which needs to be monitored
to avoid catastrophic effects. Identifying left baggage, the owner of the baggage, and the …
to avoid catastrophic effects. Identifying left baggage, the owner of the baggage, and the …
Extraction of stable foreground image regions for unattended luggage detection
G Szwoch - Multimedia Tools and Applications, 2016 - Springer
A novel approach to detection of stationary objects in the video stream is presented.
Stationary objects are these separated from the static background, but remaining motionless …
Stationary objects are these separated from the static background, but remaining motionless …
Real-time automatic obstacle detection method for traffic surveillance in urban traffic
J Lan, Y Jiang, G Fan, D Yu, Q Zhang - Journal of Signal Processing …, 2016 - Springer
Obstacle detection in urban traffic is a hot topic in intelligent visual surveillance systems. In
this paper, a real-time automatic obstacle recognition method based on computer vision …
this paper, a real-time automatic obstacle recognition method based on computer vision …
A survey of deep learning region proposal and background recognition techniques for moving object detection
TG Vibha, S Sivaramakrishnan - Computer Networks and Inventive …, 2022 - Springer
Object detection is the technique of locating targets in an image scene. Moving object
detection is to track the object in successive frames which forms the video. Moving object …
detection is to track the object in successive frames which forms the video. Moving object …
Detection of stationary foreground objects using multiple nonparametric background-foreground models on a finite state machine
There is a huge proliferation of surveillance systems that require strategies for detecting
different kinds of stationary foreground objects (eg, unattended packages or illegally parked …
different kinds of stationary foreground objects (eg, unattended packages or illegally parked …