Add to ORKGTri-state Self Organizing Map (bSOM), which takes binary inputs and maintains tri-state weights, has been used for classification rather than clustering in this paper. The major contribution here is the demonstration of the potential use of the modified bSOM in security surveillance, as a recognition system on FPGA
This report presents the implementation and evaluation of a computer vision task on a Field Programm...
Conventional surveillance systems are omnipresent and most are still based on analog techniques. Mig...
This is the preprint version of the Article - Copyright @ 2010 ElsevierThis paper demonstrates the u...
In this paper, a Naive Bayes classifier was simplified and implemented as a multi-class classificati...
Tracking of objects using colour histograms has proven successful in various visual surveillance sys...
A binary Self Organizing Map (SOM) has been designed and implemented on a Field Programmable Gate A...
This paper proposes a PixelStreams-based FPGA implementation of a real-time system that can detect a...
The purpose of this project is to develop a standalone system that uses an FPGA to realize an image ...
A system for automatically classifying the trajectory of a moving object in a scene as usual or susp...
The demands on video surveillance systems are rapidly increasing regarding parameters such as frame ...
The article presents the concept of real-time implementation computing tasks in videosurveillance sy...
This report presents the implementation and evaluation of a computer vision problem on a Field Progr...
Object tracking plays an important role in many applications, such as video surveillance, human-comp...
This paper presents the implementation and evaluation of a computer vision problem on a Field Progra...
In this paper, an implementation of a single neural network that classifies objects using bounding b...
This report presents the implementation and evaluation of a computer vision task on a Field Programm...
Conventional surveillance systems are omnipresent and most are still based on analog techniques. Mig...
This is the preprint version of the Article - Copyright @ 2010 ElsevierThis paper demonstrates the u...
In this paper, a Naive Bayes classifier was simplified and implemented as a multi-class classificati...
Tracking of objects using colour histograms has proven successful in various visual surveillance sys...
A binary Self Organizing Map (SOM) has been designed and implemented on a Field Programmable Gate A...
This paper proposes a PixelStreams-based FPGA implementation of a real-time system that can detect a...
The purpose of this project is to develop a standalone system that uses an FPGA to realize an image ...
A system for automatically classifying the trajectory of a moving object in a scene as usual or susp...
The demands on video surveillance systems are rapidly increasing regarding parameters such as frame ...
The article presents the concept of real-time implementation computing tasks in videosurveillance sy...
This report presents the implementation and evaluation of a computer vision problem on a Field Progr...
Object tracking plays an important role in many applications, such as video surveillance, human-comp...
This paper presents the implementation and evaluation of a computer vision problem on a Field Progra...
In this paper, an implementation of a single neural network that classifies objects using bounding b...
This report presents the implementation and evaluation of a computer vision task on a Field Programm...
Conventional surveillance systems are omnipresent and most are still based on analog techniques. Mig...
This is the preprint version of the Article - Copyright @ 2010 ElsevierThis paper demonstrates the u...