scholarly journals A Study on Computer Vision Systems for Real-Time Object Detection and Tracking

2017 ◽  
Vol 175 (3) ◽  
pp. 24-27
Author(s):  
Daniel Mohammed ◽  
Francis A.
Keyword(s):  
Computer Vision ◽  
Object Detection ◽  
Real Time ◽  
Vision Systems ◽  
Object Detection And Tracking ◽  
Detection And Tracking ◽  
Computer Vision Systems

ON METHODS OF OBJECT DETECTION IN VIDEO STREAMS

2017 ◽  
Vol 2 (1) ◽  
pp. 80-87
Author(s):  
Puyda V. ◽  
◽  
Stoian. A.
Keyword(s):  
Computer Vision ◽  
Object Detection ◽  
Open Source ◽  
Feature Detection ◽  
Video Stream ◽  
Object Identification ◽  
Vision Systems ◽  
Modern Computer ◽  
Computer Vision Systems ◽  
Open Source Hardware

Detecting objects in a video stream is a typical problem in modern computer vision systems that are used in multiple areas. Object detection can be done on both static images and on frames of a video stream. Essentially, object detection means finding color and intensity non-uniformities which can be treated as physical objects. Beside that, the operations of finding coordinates, size and other characteristics of these non-uniformities that can be used to solve other computer vision related problems like object identification can be executed. In this paper, we study three algorithms which can be used to detect objects of different nature and are based on different approaches: detection of color non-uniformities, frame difference and feature detection. As the input data, we use a video stream which is obtained from a video camera or from an mp4 video file. Simulations and testing of the algoritms were done on a universal computer based on an open-source hardware, built on the Broadcom BCM2711, quad-core Cortex-A72 (ARM v8) 64-bit SoC processor with frequency 1,5GHz. The software was created in Visual Studio 2019 using OpenCV 4 on Windows 10 and on a universal computer operated under Linux (Raspbian Buster OS) for an open-source hardware. In the paper, the methods under consideration are compared. The results of the paper can be used in research and development of modern computer vision systems used for different purposes. Keywords: object detection, feature points, keypoints, ORB detector, computer vision, motion detection, HSV model color

Real-time object detection and tracking in omni-directional surveillance using GPU

2015 ◽  
Author(s):  
Florian Depraz ◽  
Vladan Popovic ◽  
Beat Ott ◽  
Peter Wellig ◽  
Yusuf Leblebici
Keyword(s):  
Object Detection ◽  
Real Time ◽  
Object Detection And Tracking ◽  
Detection And Tracking

scholarly journals Image processing in real-time computer vision systems using FPGA

2016 ◽  
pp. 1-16
Author(s):  
Alexander Sergeevich Derzhanovsky ◽  
Sergey Mikhailovich Sokolov
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Real Time ◽  
Vision Systems ◽  
Computer Vision Systems
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