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Control the data flow between device interfaces, processing blocks and memories in a vision system is complex in hardware implementation. In the research, high-level synthesis tool is used to design, implement and test the vision system within the context of required control, synchronization, and parameterization on a processor based platform. In addition, both HLS tools and HDL were used for the...
In order to obtain depth perception in computer vision, it is needed to process pairs of stereo images. This process is computationally challenging to be carried out in real-time, because it requires the search for matches between objects in both images. Such process is significantly simplified if the images are rectified. Stereo image rectification involves a matrix transformation which when done...
Advances in technology continue to make both hardware and software affordable and accessible; we have seen a rapid growth in computer vision and image processing applications. One area of interest in vision and image processing is automated identification of objects in real-time or recorded video streams and analysis of these identified objects. An important topic of research in this context is identification...
One of the most challenging problems of field robots is self-localization, which involves incremental update of position while in motion. Though wheel based odometry is cheaper to implement its accuracy degrades when wheels slip. In this paper performance of low-cost visual odometry approach is experimented as a feasibility test for field robot localization. We have used a downward-facing camera and...
In object tracking identifying the best feature which discriminates object and background improves the performance. Most of the existing methods do not consider the suitability of such features for the tracker. Here we enhance the discriminative features which elevate the tracker performance. To accommodate object and background variations over time we dynamically update the best feature using a distance...
The research presented here is an attempt to use a very basic, low cost and non-specialized microcontroller for image processing tasks. The applications emanating from such an attempt will result in inexpensive face detection, intelligent motion sensors to low cost vehicle counting systems. We have been able to develop a system based on Microchip dsPIC microcontroller that implements edge detection...
Analysis of fertile material such as flowers and fruit is a key factor in the proper identification of plant species. Despite object recognition being a mature research area, the use of it in automated plant identification is still relatively new. This paper describes a novel method of detecting fertile material in plant images using rectangular features. Rectangular features are obtained for the...
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