Human detection techniques for real time surveillance: a comprehensive survey

MA Ansari, DK Singh - Multimedia tools and applications, 2021 - Springer
Real-time detection of humans is an evolutionary research topic. It is an essential and
prominent component of various vision based applications. Detection of humans in real-time …

Autoencoders based deep learner for image denoising

K Bajaj, DK Singh, MA Ansari - Procedia Computer Science, 2020 - Elsevier
Nowadays, digital images have a valuable role in our daily life, and can be used for various
of applications like fingerprint recognition, video surveillance etc. Sometimes, images get …

Monitoring social distancing through human detection for preventing/reducing COVID spread

MA Ansari, DK Singh - International Journal of Information Technology, 2021 - Springer
COVID-19 is a severe epidemic that has put the world in a global crisis. Over 42 Million
people are infected, and 1.14 Million deaths are reported worldwide as on Oct 23, 2020. A …

Deep learning algorithms-based object detection and localization revisited

SR Waheed, NM Suaib, MSM Rahim… - journal of physics …, 2021 - iopscience.iop.org
The computer vision (CV) is an emerging area with sundry promises. This communication
encompasses the past development, recent trends and future directions of the CV in the …

Comparative analysis of Vid2Vid and fast Vid2Vid models for video-to-video synthesis on cityscapes dataset

L Kumar, DK Singh - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Video generation refers to the process of creating videos using computational methods with
the help of deep learning algorithms. With the advancement of deep learning techniques …

Multi-object detection: a social distancing monitoring system

B Dave, JP Verma, R Jain, A Nayyar - Object Tracking Technology: Trends …, 2023 - Springer
Disease transmission can occur in a variety of ways, but the most unexpected way is through
air transmission. There are very few diseases that can spread through air. In December …

Analyzing computational response and performance of deep convolution neural network for plant disease classification using plant leave dataset

L Kumar, DK Singh - 2021 10th IEEE International Conference …, 2021 - ieeexplore.ieee.org
Computer vision plays a vital role in the area of agriculture for various applications like
irrigation monitoring, animal monitoring in farm areas, plant classification, disease detection …

Deep learning methodologies for vehicle detection

DJ Jawad, R Ogla, AM Rahma - AIP Conference Proceedings, 2023 - pubs.aip.org
The number of vehicles on the road has grown, producing concerns such as traffic
congestion and fatal and injury accidents. To overcome these obstacles, numerous …

[PDF][PDF] Hardware response and performance analysis of multicore computing systems for deep learning algorithms

L Kumar, DK Singh - Cybernetics and Information Technologies, 2022 - sciendo.com
With the advancement in technological world, the technologies like Artificial Intelligence (AI),
Machine Learning (ML), and Deep Learning (DL) are gaining more popularity in many …

Review of an Evolved DNN Architecture EfficientNet for Yoga Pose Detection Problem

S Kashyap, A Gupta, MA Ansari… - 2023 IEEE 11th Region …, 2023 - ieeexplore.ieee.org
Yoga is a popular form of exercise that has been rehearsed for centuries. For many sports or
exercises, such as yoga, golf, rugby, table tennis, etc., several automatic or semi-automatic …