A deep survey on supervised learning based human detection and activity classification methods
Human detection and activity recognition is very important research area in the healthcare,
video surveillance, pedestrian detection, intelligent vehicle system and home care center …
video surveillance, pedestrian detection, intelligent vehicle system and home care center …
HAR-depth: a novel framework for human action recognition using sequential learning and depth estimated history images
Human action recognition (HAR) is a challenging task due to the presence of the pose and
temporal variations in the action videos. To address these challenges, HAR-Depth is …
temporal variations in the action videos. To address these challenges, HAR-Depth is …
Activity tracking of employees in industries using computer vision
P Yuganthini, A Vigneswari, S Jancy… - … on Trends in …, 2021 - ieeexplore.ieee.org
Human resource management is integral to every organization. Its employees are managed
based on various aspects such as time management and efficiency monitoring which never …
based on various aspects such as time management and efficiency monitoring which never …
3D spatial-temporal view based motion tracing in human action recognition
The paper presents an extended approach of Motion History Image to trace the human
motions in a video for recognizing the human actions. The video is represented as a 3D …
motions in a video for recognizing the human actions. The video is represented as a 3D …
[PDF][PDF] An Improved Mean Shift Using Adaptive Fuzzy Gaussian Kernel for Indonesia Vehicle License Plate Tracking.
A new approach toward Indonesian vehicles license plate tracking based on video
recordings of vehicles on the highway, is proposed. The tracking technique is used to …
recordings of vehicles on the highway, is proposed. The tracking technique is used to …
[PDF][PDF] An improved mean shift performance using switching kernels for Indonesia vehicle license plate tracking video
In this paper, it is proposed a Mean Shift tracking uses varied kernel functions by means of
switching four kernels, such as Uniform, Triangular, Epanechnikov and Gaussian for …
switching four kernels, such as Uniform, Triangular, Epanechnikov and Gaussian for …
[PDF][PDF] Sistem Pelacakan dan Pengenalan Pelat Nomor Kendaraan Berbasis Video Menggunakan Hybrid-CNN Mean Shift
B Rahmat - 2018 - repository.its.ac.id
Penelitian ini mengusulkan metode baru dalam sistem pelacakan dan pengenalan pelat
nomor kendaraan berbasis video secara cerdas. Tiga bagian besar yang diteliti, yaitu …
nomor kendaraan berbasis video secara cerdas. Tiga bagian besar yang diteliti, yaitu …