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Patch excitation network for boxless action recognition in still images
Action recognition in still images is considered to be a challenging task, mainly due to the lack of temporal information. To address this issue,...
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Proxemics-net++: classification of human interactions in still images
Human interaction recognition (HIR) is a significant challenge in computer vision that focuses on identifying human interactions in images and...
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A key-points-assisted network with transfer learning for precision human action recognition in still images
Still image-based human action recognition is a highly sought-after but challenging field in computer vision, and such challenge mainly stems from...
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Human Action Recognition in Still Images
In this research work, we are addressing the problem of action recognition in still images, in which the model focuses on recognizing the person's...
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Desmogging of still images using residual regression network and morphological erosion
Smog is one of the air pollutants that makes it difficult for drivers to see. Smog is a mixture of fog and smoke that produces black fumes and...
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Context Enhancement Methodology for Action Recognition in Still Images
Action recognition in still images is a popular research topic in the field of computer vision, but it is to remain challenging due to the lack of...
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An evolving ensemble model of multi-stream convolutional neural networks for human action recognition in still images
Still image human action recognition (HAR) is a challenging problem owing to limited sources of information and large intra-class and small...
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LSB steganography detection in monochromatic still images using artificial neural networks
Embedding graphic content in multimedia through steganography is a useful and fast practice to hide information. However, detecting the use of this...
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ESS: Learning Event-Based Semantic Segmentation from Still Images
Retrieving accurate semantic information in challenging high dynamic range (HDR) and high-speed conditions remains an open challenge for image-based...
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Pose-Enhanced Relation Feature for Action Recognition in Still Images
Due to the lack of motion information, action recognition in still images is considered a challenging task. Previous works focused on contextual...
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Construction of hyperspectral images from RGB images via CNN
Hyperspectral imaging (HSI) is an approach that captures information spanning a broad spectrum of spectral bands or wavelengths. Unlike traditional...
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Action recognition in still images using a multi-attention guided network with weakly supervised saliency detection
Action recognition in still images is an interesting subject in computer vision. One of the most important problems in still image-based action...
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Images
In this chapter, we will add the ability to store image files for display in our blog posts. We will leverage the Active Storage gem to provide much...
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Pickpocketing Recognition in Still Images
Human activity recognition (HAR) is a challenging topic in the computer vision field. Pickpocketing is a type of human criminal actions. It needs...
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Transfer learning with fine tuning for human action recognition from still images
Still image-based human action recognition (HAR) is one of the most challenging research problems in the field of computer vision. Some of the...
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Face detection in still images under occlusion and non-uniform illumination
Face detection is important part of face recognition system. In face recognition, face detection is taken not so seriously. Face detection is taken...
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Discriminative Dictionary Design for Action Classification in Still Images and Videos
In this paper, we address the problem of action recognition from still images and videos. Traditional local features such as SIFT and STIP invariably...
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JUIVCDv1: development of a still-image based dataset for indian vehicle classification
An automatic vehicle classification (AVC) system designed from either still images or videos has the potential to bring significant benefits to the...
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IRUVD: a new still-image based dataset for automatic vehicle detection
One of the difficult tasks in the field of computer vision is the classification and detection of vehicles. Researchers from all over the world are...
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JUVDsi v1: develo** and benchmarking a new still image database in Indian scenario for automatic vehicle detection
Designing an automatic vehicle detection (AVD) system from still images or videos would be a useful tool to cater to the requirements of the traffic...
