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Kerman: A Hybrid Lightweight Tracking Algorithm to Enable Smart
  Surveillance as an Edge Service

Kerman: A Hybrid Lightweight Tracking Algorithm to Enable Smart Surveillance as an Edge Service

6 August 2018
S. Nikouei
Yu Chen
Sejun Song
Timothy R. Faughnan
ArXivPDFHTML

Papers citing "Kerman: A Hybrid Lightweight Tracking Algorithm to Enable Smart Surveillance as an Edge Service"

10 / 10 papers shown
Title
Smart Surveillance as an Edge Network Service: from Harr-Cascade, SVM to
  a Lightweight CNN
Smart Surveillance as an Edge Network Service: from Harr-Cascade, SVM to a Lightweight CNN
S. Nikouei
Yu Chen
Sejun Song
Ronghua Xu
Baek-Young Choi
Timothy R. Faughnan
59
85
0
24 Apr 2018
Real-Time Human Detection as an Edge Service Enabled by a Lightweight
  CNN
Real-Time Human Detection as an Edge Service Enabled by a Lightweight CNN
S. Nikouei
Yu Chen
Sejun Song
Ronghua Xu
Baek-Young Choi
Timothy R. Faughnan
3DH
ObjD
55
121
0
24 Apr 2018
An edge-fog-cloud platform for anticipatory learning process designed
  for Internet of Mobile Things
An edge-fog-cloud platform for anticipatory learning process designed for Internet of Mobile Things
Hung Cao
Monica Wachowicz
C. Renso
Emanuele Carlini
38
10
0
19 Nov 2017
A Comprehensive Survey on Fog Computing: State-of-the-art and Research
  Challenges
A Comprehensive Survey on Fog Computing: State-of-the-art and Research Challenges
Carla Mouradian
Diala Naboulsi
Sami Yangui
R. Glitho
M. Morrow
P. Polakos
49
850
0
30 Oct 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.1K
20,837
0
17 Apr 2017
Need for Speed: A Benchmark for Higher Frame Rate Object Tracking
Need for Speed: A Benchmark for Higher Frame Rate Object Tracking
Hamed Kiani Galoogahi
Ashton Fagg
Chen Huang
Deva Ramanan
Simon Lucey
78
402
0
17 Mar 2017
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
150
7,482
0
24 Feb 2016
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
Hyeonseob Nam
Bohyung Han
96
2,474
0
27 Oct 2015
High-Speed Tracking with Kernelized Correlation Filters
High-Speed Tracking with Kernelized Correlation Filters
João F. Henriques
Rui Caseiro
P. Martins
Jorge Batista
84
5,134
0
30 Apr 2014
Correlation Filters with Limited Boundaries
Correlation Filters with Limited Boundaries
Hamed Kiani Galoogahi
Terence Sim
Simon Lucey
89
335
0
31 Mar 2014
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