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Article
SA-DCPNet: Scale-aware deep convolutional pyramid network for crowd counting
Crowd counting is one of the most complex research topics in the field of computer vision. There are many challenges associated with this task, including severe occlusion, scale variation, and complex backgrou...
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Article
Modeling transformer architecture with attention layer for human activity recognition
Human activity recognition (HAR) is necessary in numerous fields, involving medicine, sports, and security. Traditional HAR methods often rely on complex feature extraction from raw input data, while convoluti...
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Chapter and Conference Paper
Human Activity Recognition with a Time Distributed Deep Neural Network
Human activity recognition (HAR) is necessary in numerous domains, including medicine, sports, and security. This research offers a method to improve HAR performance by using a temporally distributed integrati...
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Chapter and Conference Paper
Context-Aware Facial Expression Recognition Using Deep Convolutional Neural Network Architecture
A frame of reference, which includes additional contextual information, can provide a more accurate and comprehensive understanding of the individual’s emotional state. This context might encompass factors suc...
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Chapter and Conference Paper
Spatial Attention Transformer Based Framework for Anomaly Classification in Image Sequences
With the increasing number of crimes in crowded and remote areas, there is a necessity to recognize any abnormal or violent event with the help of video surveillance systems. Anomaly detection is still a chall...
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Chapter and Conference Paper
Convolutional Autoencoder for Vision-Based Human Activity Recognition
Human activity recognition (HAR) is a crucial component for many current applications, including those in the healthcare, security, and entertainment sectors. At the current state of the art, deep learning out...
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Chapter and Conference Paper
Towards Transfer Learning Based Human Anomaly Detection in Videos
In the present era, the crime rates increase day by day, in such situations, humans keep security as a topmost priority in their daily lives. As a result, the demands of surveillance system surge for public, p...
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Article
A self-attention-based fusion framework for facial expression recognition in wavelet domain
Facial expression recognition (FER) plays a vital role for applications based on human–computer interaction. In the past few years, many deep learning models have been proposed for FER, but their performance i...
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Article
Correction: A Statistical Language Modeling Framework for Extractive Summarization of Text Documents
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Article
A Statistical Language Modeling Framework for Extractive Summarization of Text Documents
The availability of a large collection of text documents on a variety of topics, such as tweets, web pages, news articles, and stories, in different languages. Due to these electronic documents, users get exha...
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Article
A framework for facial expression recognition using deep self-attention network
Facial expression recognition (FER) is a widely used technique for emotion recognition. In recent years, numerous deep convolutional neural network (CNN) models have been implemented for this purpose. However,...
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Article
Multiview human activity recognition using uniform rotation invariant local binary patterns
Significant efforts have been made to monitor human activity, although it remains a challenging area for computer vision research. This paper has introduced a framework to identify the most common types of vid...
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Chapter and Conference Paper
Revolutionising Food Safety Management: The Role of Blockchain Technology in Ensuring Safe and High-Quality Food Products
Ensuring food safety and quality is of utmost importance for public health and consumer trust. In recent years, blockchain technology (BCT) has been increasingly explored as a potential solution to revolutioni...
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Chapter and Conference Paper
Person Detection Using YOLOv3
In today’s world, person detection in video surveillance is very important. It has many applications like crowd counting, single and multiple object tracking, crowd behavior analysis, anomaly detection, etc. T...
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Chapter and Conference Paper
A Statistical Approach for Extractive Hindi Text Summarization Using Machine Translation
Automatic text summarization (ATS) is a challenging problem for Indian languages. The outcomes of ATS research are the development of summarization systems that consistently generate high-accuracy summaries an...
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Chapter and Conference Paper
Human Detection and Tracking Based on YOLOv3 and DeepSORT
This paper proposes an enhanced object tracking architecture based on YOLOv3 and DeepSORT. YOLOv3 is used for object detection, but in this case, we have only selected the human class. For object tracking, the...
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Article
A Review of Deep Learning Techniques for Crowd Behavior Analysis
In today’s scenario, there are frequent events (viz. political rallies, live concerts, strikes, sports meet) occur in which many people gather to participate in the event. In crowded areas possibility of occur...
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Chapter and Conference Paper
A Modified Pyramid Scale Network for Crowd Counting
Crowd counting is a complex and strenuous task in the field of computer vision due to illumination, complex background, occlusions, scale variations, non-uniform distribution etc. There are many methods to cou...
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Chapter
Biometric Recognition of Emotions Using Wavelets
This study demonstrates analysis of an advanced technique that enhances performance of facial expression recognition method. Face preprocessing is conducted by face crop**. These cropped faces are rescaled b...
