[PDF][PDF] Still image-based human activity recognition with deep representations and residual learning

AR Siyal, Z Bhutto, SMS Shah, A Iqbal… - … Journal of Advanced …, 2020 - researchgate.net
Iterative Recognizing human activity in a scene is still a challenging and an important
research area in the field of computer vision due to its various possible implementations on …

Investigation of deep learning methodologies in satellite image based ship detection

V Karunakaran, T Sujatha, SBE Rai… - … Computing and Data …, 2022 - ieeexplore.ieee.org
Maritime surveillance is one of the major phases of security concern of borders to track the
illegal movement across the borders. Over the past decade, deep learning proves in majority …

[PDF][PDF] Feature fusion based human action recognition in still images

AS Chan, K Saleem, Z Bhutto, L Memon… - … Journal of Computer …, 2019 - researchgate.net
Recognizing human actions based on still-images is a challenging task involving predictions
on human interaction with objects and body postures. In this paper, a novel method is …

YOLOv5 Model-based Ship Detection in High Resolution SAR Images

S Sapna, S Sandhya, RD Shetty… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Detection of ships in Synthetic Aperture Radar (SAR) images play a crucial role in maritime
surveillance, most importantly under complex sea conditions. SAR permits observation in …

[PDF][PDF] Finger-vein Image Dual Contrast Enhancement and Edge Detection

NK Baloch, Z Bhutto, AS Chan, ML Memon… - … Journal of Computer …, 2019 - researchgate.net
In this paper, we propose a novel scheme to get a pattern of Finger Veins from the original
image. The central point of this paper is how to extract Finger-vein ridges from the …