P Payal, MM Goyani - The Imaging Science Journal, 2020 - Taylor & Francis
Face Recognition is the process of identifying and verifying the faces. Face recognition has vast importance in the field of Security, Healthcare, Banking, Criminal Identification …
S Fekri-Ershad - Expert Systems with Applications, 2020 - Elsevier
Tree identification is one of the areas that are regarded by researchers. It is done by human expert with high cost. Experts believe that tree bark has a high relation with species in …
W Yang, X Zhang, J Li - Neurocomputing, 2020 - Elsevier
Human perception of a signal depends on the ratio of the change of stimulus to the stimulus itself while the change of stimulus to the stimulus itself is usually ignored in hand-crafted …
In this paper, we propose a new hybrid Local Binary Pattern (LBP) based on Hessian matrix and Attractive Center-Symmetric LBP (ACS-LBP), called Hess-ACS-LBP. d The Hessian …
S Gupta, PP Roy, DP Dogra, BG Kim - Pattern Analysis and Applications, 2020 - Springer
Many content-based image retrieval (CBIR) methods are being developed to store more and more information about images in shorter feature vectors and to improve image retrieval …
For intelligent traffic monitoring systems and related applications, detecting vehicles on roads is a vital step. However, robust and efficient vehicles detection is still a challenging …
This paper presents a high discriminative texture analysis method based on the fusion of complex networks and randomized neural networks. In this approach, the input image is …
Understanding the chaotic motions of dynamic textures (DTs) is a challenging problem of video representation for different tasks in computer vision. This paper presents a new …
H Tao, X Lu - Journal of Real-Time Image Processing, 2020 - Springer
Existing smoke vehicle detection methods and vision-based smoke detection methods are vulnerable to false alarms. This paper presents an automatic smoke vehicle detection …