Human detection using orientation shape histogram and coocurrence textures
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6866-8
Abstract: In this article, we present a framework to detect pedestrians in presence of various real world challenges. The depth-level occlusion is addressed by a stereo-aided triangulation mechanism, where the ORB (Oriented FAST and Rotated BRIEF)… read more here.
Keywords: shape; shape histogram; detection using; using orientation ... See more keywords
PLS-CCA heterogeneous features fusion-based low-resolution human detection method for outdoor video surveillance
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Automation and Computing"
DOI: 10.1007/s11633-016-1029-8
Abstract: In this paper, we focus on low-resolution human detection and propose a partial least squares-canonical correlation analysis (PLS-CCA) for outdoor video surveillance. The analysis relies on heterogeneous features fusion-based human detection method. The proposed method… read more here.
Keywords: resolution human; heterogeneous features; low resolution; method ... See more keywords
A Comparison Between Various Human Detectors and CNN-Based Feature Extractors for Human Activity Recognition Via Aerial Captured Video Sequences
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3182315
Abstract: Human detection and activity recognition (HDAR) in videos plays an important role in various real-life applications. Recently, object detection methods such as “you only look once” (YOLO), faster region based convolutional neural network (R-CNN), and… read more here.
Keywords: human detection; aerial captured; detection; activity ... See more keywords
A Novel Fusion Method With Thermal and RGB-D Sensor Data for Human Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3185402
Abstract: Human detection methods are widely used in various fields such as autonomous vehicles, video surveillance, and rescue systems. To provide a more effective detection system, different types of sensor data (i.e. optics, thermal, and depth… read more here.
Keywords: human detection; rgb; detection; sensor data ... See more keywords
Device-Free Wireless Sensing for Human Detection: The Deep Learning Perspective
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2020.3024234
Abstract: Currently, developments in wireless sensing technologies have shown that wireless signals can be employed to transmit information between wireless communication devices and are also able to realize passive target wireless sensing. Wireless sensing has diverse… read more here.
Keywords: device free; wireless sensing; sensing human; human detection ... See more keywords
Semi-Supervised Human Detection via Region Proposal Networks Aided by Verification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2944306
Abstract: In this paper, we explore how to leverage readily available unlabeled data to improve semi-supervised human detection performance. For this purpose, we specifically modify the region proposal network (RPN) for learning on a partially labeled… read more here.
Keywords: region proposal; supervised human; semi supervised; human detection ... See more keywords
Robust 3-D Human Detection in Complex Environments With a Depth Camera
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2018.2803526
Abstract: Human detection has received great attention during the past few decades, which is yet still a challenging problem. In this paper, we focus on the problem of 3-D human detection, i.e., finding the human bodies… read more here.
Keywords: robust human; detection; detection complex; environments depth ... See more keywords
Self-supervised Human Detection and Segmentation via Background Inpainting.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2021.3123902
Abstract: While supervised object detection and segmentation methods achieve impressive accuracy, they generalize poorly to images whose appearance significantly differs from the data they have been trained on. To address this when annotating data is prohibitively… read more here.
Keywords: self supervised; detection segmentation; human detection; segmentation ... See more keywords
Multifeature fusion for robust human detection in thermal infrared imagery
Sign Up to like & getrecommendations! Published in 2019 at "Optical Engineering"
DOI: 10.1117/1.oe.58.4.043101
Abstract: Abstract. Despite all the significant advances in human detection in various environmental conditions, it is still a challenging task. Most of the human detection algorithms mainly use color information, which is not robust to lighting… read more here.
Keywords: infrared imagery; fusion robust; human detection; multifeature fusion ... See more keywords
Complementary human detection and multiple feature based tracking using a stereo camera
Sign Up to like & getrecommendations! Published in 2017 at "ROBOMECH Journal"
DOI: 10.1186/s40648-017-0092-4
Abstract: A human detection and tracking method using a stereo camera is presented in this paper. Two human detection methods are independently implemented, and the results are combined to reduce misdetection and nondetection. The tracking step… read more here.
Keywords: detection; feature; stereo camera; using stereo ... See more keywords
The method of the real-time human detection and tracking
Sign Up to like & getrecommendations! Published in 2023 at "Artificial Intelligence"
DOI: 10.15407/jai2023.01.066
Abstract: Today, data collected from video surveillance systems require processing. Video content analysis (VCA) or video analytics (VA) has found applications in security systems, retail, the automotive industry, smart home technologies, etc. The tasks of video… read more here.
Keywords: human detection; network; detection tracking; video analytics ... See more keywords