FPGAs have emerged as a promising platform for implementing neural networks due to their
reconfigurability, parallelism, and low power consumption. Nonetheless, designing and …

Object recognition presents considerable difficulties within the domain of computer vision.
Field-Programmable Gate Arrays (FPGAs) offer a flexible hardware platform, having …

Accurate detection of pupil position in successive frames of eye videos is finding
applications in many areas including assistive systems and E-learning. Processing the big …

Real-time object tracking is an important step of many modern image processing
applications. The efficient hardware design of real-time object tracker must achieve the …

With the technological improvement in artificial intelligence, particularly deep learning is
providing effective outcomes along with hardware platforms such as field-programmable …

Object trackers based on Convolution Neural Network (CNN) have achieved state-of-the-art
performance on recent tracking benchmarks, while they suffer from slow computational …

This paper applies a pragmatic approach to study the real-time performance effect of
software design methods for multiple object tracking (MOT) based on vision digital signal …

Nowadays object tracking process becoming one of the most challenging task in Computer
Vision filed. A CSR-DCF (channel spatial reliability-discriminative correlation filter) tracking …

Visual object tracking (VOT) is a computer vision application and has a wide range of use.
However, related state of the art algorithms using deep learning methods, are …

This paper describes a hardware and software codesign approach for object detection and
tracking algorithm which is based on modified ViBe background subtraction method and …