Wavelet-modified segmented phase-only filter for in-plane rotated object recognition

R Kumar, NK Nishchal, A Alfalou - Physica Scripta, 2024 - iopscience.iop.org
In this paper, we propose and implement a wavelet-modified segmented phase-only filter for
in-plane rotated object recognition. The wavelet filter is combined with the segmented phase …

Self-organizing hierarchical particle swarm optimization of correlation filters for object recognition

S Tehsin, S Rehman, MOB Saeed, F Riaz… - IEEE …, 2017 - ieeexplore.ieee.org
Advanced correlation filters are an effective tool for target detection within a particular class.
Most correlation filters are derived from a complex filter equation leading to a closed form …

Improved maximum average correlation height filter with adaptive log base selection for object recognition

S Tehsin, S Rehman, AB Awan… - Optical Pattern …, 2016 - spiedigitallibrary.org
Sensitivity to the variations in the reference image is a major concern when recognizing
target objects. A combinational framework of correlation filters and logarithmic …

Estimation of distance and rotation with an optical correlator

A Pal, M Jyothish, NK Nishchal - IEEE Photonics Technology …, 2024 - ieeexplore.ieee.org
Optical correlator provides numerous benefits in pattern recognition, target identification,
tracking, authentication, etc. However, correlation-based distance estimation of any object …

Improving the False Alarm Capability of the Extended Maximum Average Correlation Height Filter

R Kumar, NK Nishchal, A Alfalou - Photonics, 2023 - mdpi.com
The extended maximum average correlation height (EMACH) filter is a potent pattern-
detection tool used in image processing and computer vision applications. This filter …

Fully invariant wavelet enhanced minimum average correlation energy filter for object recognition in cluttered and occluded environments

S Tehsin, S Rehman, F Riaz, O Saeed… - … and Tracking XXVIII, 2017 - spiedigitallibrary.org
A fully invariant system helps in resolving difficulties in object detection when camera or
object orientation and position are unknown. In this paper, the proposed correlation filter …

Comparative analysis of zero aliasing logarithmic mapped optimal trade-off correlation filter

S Tehsin, S Rehman, A Bilal, Q Chaudry… - … and Tracking XXVIII, 2017 - spiedigitallibrary.org
Correlation filters are a well established means for target recognition tasks. However, the
unintentional effect of circular correlation has a negative influence on the performance of …

Detection of moving human using optimized correlation filters in homogeneous environments

N Akbar, S Tehsin, A Bilal, S Rubab… - … and Tracking XXXI, 2020 - spiedigitallibrary.org
Detection of a moving human is challenging for real-time systems. Misdetection in high alert
security areas may lead to heavy losses. This paper presents an optimized approach to …

Approximate proximal gradient-based correlation filter for target tracking in videos: a unified approach

H Masood, S Rehman, A Khan, F Riaz… - Arabian Journal for …, 2019 - Springer
Video cameras are among the most commonly used devices throughout the world which
results in imaging technology being one of the most important areas for research and …

Composite filtering strategy for improving distortion invariance in object recognition

AB Awan, S Rehman, AD Bakhshi - IET Image Processing, 2018 - Wiley Online Library
Correlation‐based pattern recognition filtering methods such as the eigenextended
maximum average correlation height (EEMACH) filter is considered an effective tool in …