Real-time background subtraction based on GPGPU for high-resolution video surveillance

2017 ◽  
Author(s):  
Sunhee Hwang ◽  
Youngjung Uh ◽  
Minsong Ki ◽  
Kwangyong Lim ◽  
Daeyong Park ◽  
...  
Keyword(s):  
High Resolution ◽  
Real Time ◽  
Video Surveillance ◽  
Background Subtraction

Accelerating real‐time object detection in high‐resolution video surveillance

2021 ◽  
Author(s):  
Yuefeng Wang ◽  
Kuang Mao ◽  
Tong Chen ◽  
Yanglong Yin ◽  
Shuibing He ◽  
...  
Keyword(s):  
High Resolution ◽  
Object Detection ◽  
Real Time ◽  
Video Surveillance

Real-time background subtraction-based video surveillance of people by integrating local texture patterns

2013 ◽  
Vol 8 (4) ◽  
pp. 665-676 ◽  
Author(s):  
Hefeng Wu ◽  
Ning Liu ◽  
Xiaonan Luo ◽  
Jiawei Su ◽  
Liangshi Chen
Keyword(s):  
Real Time ◽  
Video Surveillance ◽  
Background Subtraction ◽  
Local Texture

Critical Video Surveillance and Identification of Human Behavior Analysis of ATM Security Systems

2016 ◽  
pp. 93-118
Author(s):  
M. Sivabalakrishnan ◽  
R. Menaka ◽  
S. Jeeva
Keyword(s):  
Real Time ◽  
Video Surveillance ◽  
Background Subtraction ◽  
Surveillance System ◽  
Security Systems ◽  
Research Issues ◽  
Background Estimation ◽  
Security Officers ◽  
Abnormal Behaviors ◽  
Human Behavior Analysis

Video surveillance cameras are placed in many places such as bank, hospital, toll gates, airports, etc. To take advantage of the video in real time, a human must monitor the system continuously in order to alert security officers if there is an emergency. Besides, for event detection a person can observe four cameras with good accuracy at a time. Therefore, this requires expensive human resources for real time video surveillance using current technology. The trajectory of one or more targets obtains for object tracking while recording above space and time. By tracking various objects, the burden of detection by human sentinels is greatly alleviated. Efficient and reliable automatic alarm system is useful for many ATM surveillance applications. ATM Video monitoring systems present many challenging research issues in human abnormal behaviors detection approaches. The framework of ATM video surveillance system encompassing various factors, such as image acquisition, background estimation, background subtraction, segmentation, people counting and tracking are briefly discussed in this chapter.

Critical Video Surveillance and Identification of Human Behavior Analysis of ATM Security Systems

2019 ◽  
pp. 315-341
Author(s):  
M. Sivabalakrishnan ◽  
R. Menaka ◽  
S. Jeeva
Keyword(s):  
Real Time ◽  
Video Surveillance ◽  
Background Subtraction ◽  
Surveillance System ◽  
Security Systems ◽  
Research Issues ◽  
Background Estimation ◽  
Security Officers ◽  
Abnormal Behaviors ◽  
Human Behavior Analysis

Video surveillance cameras are placed in many places such as bank, hospital, toll gates, airports, etc. To take advantage of the video in real time, a human must monitor the system continuously in order to alert security officers if there is an emergency. Besides, for event detection a person can observe four cameras with good accuracy at a time. Therefore, this requires expensive human resources for real time video surveillance using current technology. The trajectory of one or more targets obtains for object tracking while recording above space and time. By tracking various objects, the burden of detection by human sentinels is greatly alleviated. Efficient and reliable automatic alarm system is useful for many ATM surveillance applications. ATM Video monitoring systems present many challenging research issues in human abnormal behaviors detection approaches. The framework of ATM video surveillance system encompassing various factors, such as image acquisition, background estimation, background subtraction, segmentation, people counting and tracking are briefly discussed in this chapter.

REAL-TIME SYSTEM FOR PANORAMIC ALL-ROUND VIEW USING HIGH-RESOLUTION WIDE-ANGLE CAMERAS

2020 ◽  
pp. 87-92
Author(s):  
Э.С. Соколова ◽  
Д.В. Дмитриев ◽  
М.Б. Багиров
Keyword(s):  
High Resolution ◽  
Real Time ◽  
Video Surveillance ◽  
Mixed Boundary ◽  
Wide Angle ◽  
Video Capture ◽  
High Definition ◽  
Time System ◽  
Real Time System ◽  
Computing Unit

Разработана система реального времени построения панорамного кругового обзора, включающая модули захвата видеопотока, внутренней и внешней калибровки камер, «сшивки» и смешивания граничных областей изображений. Аппаратная часть включает широкоугольные аналоговые камеры высокого разрешения, устройство видеозахвата и вычислительный блок. A real-time system has been developed for constructing a panoramic circular view using video surveillance modules, internal and external camera calibration, "stitching" and a mixed boundary image. The hardware includes high-definition wide-angle analog cameras, a video capture device and a computing unit.

Smart Video Surveillance Systems and Identification of Human Behavior Analysis

2019 ◽  
pp. 64-97
Author(s):  
M. Sivabalakrishnan ◽  
R. Menaka ◽  
S. Jeeva
Keyword(s):  
Real Time ◽  
Video Surveillance ◽  
Background Subtraction ◽  
Surveillance System ◽  
Surveillance Systems ◽  
Cloud Environment ◽  
Background Estimation ◽  
Security Officers ◽  
Smart Surveillance ◽  
Human Behavior Analysis

Smart surveillance cameras are placed in many places such as bank, hospital, toll gates, airports, etc. To take advantage of the video in real time, a human must monitor the system continuously in order to alert security officers if there is an emergency. Besides, for event detection a person can observe four cameras with good accuracy at a time. Therefore, this requires expensive human resources for real-time video surveillance using current technology. The framework of ATM video surveillance system encompassing various factors, such as image acquisition, background estimation, background subtraction, store, and further process like segmentation, people counting, and tracking are done in cloud environment briefly discussed in this chapter.

Electrical Probing and Surface Imaging of Deep Sub-Micron Integrated Circuits

1999 ◽  
Author(s):  
Kenneth Krieg ◽  
Richard Qi ◽  
Douglas Thomson ◽  
Greg Bridges
Keyword(s):  
High Resolution ◽  
Integrated Circuits ◽  
Real Time ◽  
High Speed ◽  
Time Signal ◽  
Surface Imaging ◽  
Atomic Force ◽  
Submicron Structures ◽  
High Resolution Images ◽  
Capacitive Loading

Abstract A contact probing system for surface imaging and real-time signal measurement of deep sub-micron integrated circuits is discussed. The probe fits on a standard probe-station and utilizes a conductive atomic force microscope tip to rapidly measure the surface topography and acquire real-time highfrequency signals from features as small as 0.18 micron. The micromachined probe structure minimizes parasitic coupling and the probe achieves a bandwidth greater than 3 GHz, with a capacitive loading of less than 120 fF. High-resolution images of submicron structures and waveforms acquired from high-speed devices are presented.

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