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Human detection techniques for real time surveillance: a comprehensive survey
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 …
prominent component of various vision based applications. Detection of humans in real-time …
Autoencoders based deep learner for image denoising
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 …
of applications like fingerprint recognition, video surveillance etc. Sometimes, images get …
Monitoring social distancing through human detection for preventing/reducing COVID spread
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 …
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
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 …
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
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 …
the help of deep learning algorithms. With the advancement of deep learning techniques …
Multi-object detection: a social distancing monitoring system
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 …
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
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 …
irrigation monitoring, animal monitoring in farm areas, plant classification, disease detection …
Deep learning methodologies for vehicle detection
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 …
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
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 …
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 …
exercises, such as yoga, golf, rugby, table tennis, etc., several automatic or semi-automatic …