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In this paper we present a method for roadside vegetation detection intended for traffic safety and road infrastructure maintenance. While many published methods are using Near Infrared images which are suitable for vegetation detection, our method uses features from the visible spectrum allowing the use of a common color camera. The presented method uses a set of carefully selected color and texture...
In this paper we present a method for roadside vegetation detection from video obtained from a moving vehicle with intended use in road infrastructure maintenance and traffic safety. While many published methods are using Near Infrared images which are suitable for vegetation detection, our method uses image features from the visible spectrum allowing the use of a common color camera. The presented...
With rapid advancement in technology, numerous applications are required, such as for face and gesture recognition. However, various methods previous researchers have developed and presented suffer from limitations. Therefore, this study proposes an FPGA-based gesture recognition system by rewriting the largest computational complexity of optical flow to perform parallel processing architecture, and...
The paper proposes a novel method for estimating the optical flows from the sequentially captured images with using their own color information. The gradient method is well known as one of the conventional methods to estimate the flows, and then the spatial and temporal derivative of the images are used in the method. Since the color images have richer information than the monochrome ones, they should...
This paper presents detailed description of a real-time hand gesture recognition system using embedded DSP board and image processing approaches. Such a system which can identify hand postures and dynamic gestures has manifold potential applications range from sign languages to human computer interaction. We use Q6455 DSP board based on 4 TI-TMS320C6455 DSPs as the computational unit. This versatile...
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