Results 111 to 120 of about 67,776 (300)
System and application of video surrveillance based on edge computing
Dianxin kexue, 2020 With the popularization of video surveillance systems and the diversification of their applications,traditional data processing methods using cloud computing to handle all the computations are more and more unsustainable.Edge computing pre-processes ...
Sanming PAN, Mingqiang YUAN
doaj +2 more sources
Video analysis of events within chemical sensor networks [PDF]
, 2005 This paper describes how we deploy video surveillance techniques to monitor the activities within a sensor network in order to detect environmental events.
Corcoran, Brian +7 more
core
Deep Residual Learning for Analyzing Customer Satisfaction using Video Surveillance
, 2019 Measuring customer satisfaction based on facial expressions from video surveillance can potentially support real-time analysis. We propose the use of deep residual network (ResNet), which has been a widely used for many image recognition tasks, but not ...
Sugianto, N, Tydd, B, Tjondronegoro, D
core +1 more source
Journal of Consumer Behaviour, EarlyView.ABSTRACT Some consumers exhibit aversion toward artificial intelligence (AI), particularly when it is embedded in persuasive marketing communication (MarCom). Here, we developed and validated a measure of consumer aversion to AI in MarCom and examined its downstream consequences for brand perceptions and purchase intention.
Louvins Pierre +2 more
wiley +1 more source
Cytometry Part A, EarlyView.ABSTRACT Bispecific T cell engagers bring together T cells with malignant B cell targets to enable synapse formation and disease eradication of hematological malignancies. The proportion of T cells and their ability to bind to their targets varies between patients and may be a biomarker of response.
Joanne E. Davis +5 more
wiley +1 more source
Reactive Attention: Video Surveillance in Berlin Shopping Malls
, 2002 The paper examines the practice of use of video-surveillance in Berlin Shopping Malls. The video systems observed here do not seem to be an efficient instrument of social control and exclusion.
Helten, Frank, Fischer, Bernd
core
"A S.O.M. based algorithm for video surveillance sstem parameter optimal selection"
, 2003 n automatic video surveillance systems, full time monitoring represents an important goal to achieve. The aim of the paper is to find a new methodology for video surveillance adaptive parameter regulation. The method presented is based on self organizing
MARCENARO, LUCIO +2 more
core +1 more source
Deep Underground Science and Engineering, EarlyView.How artificial intelligence (AI) and digital twin (DT) technologies are revolutionizing tunnel surveillance, offering proactive maintenance strategies and enhanced safety protocols. It explores AI's analytical power and DT's virtual replicas of infrastructure, emphasizing their role in optimizing maintenance and safety in tunnel management.
Mohammad Afrazi +4 more
wiley +1 more source
Edge Segment-Based Automatic Video Surveillance
EURASIP Journal on Advances in Signal Processing, 2007 This paper presents a moving-object segmentation algorithm using edge information as segment. The proposed method is developed to address challenges due to variations in ambient lighting and background contents.
Oksam Chae +2 more
doaj +1 more source
Deep Learning-Based Anomaly Detection in Video Surveillance: A Survey. [PDF]
Sensors (Basel), 2023 Duong HT, Le VT, Hoang VT.
europepmc +1 more source