Cascade object detection and remote sensing object detection method based on trainable activation function
Object detection is an important process in surveillance system to locate objects and it is
considered as major application in computer vision. The Convolution Neural Network (CNN) …
considered as major application in computer vision. The Convolution Neural Network (CNN) …
ApproxDet: content and contention-aware approximate object detection for mobiles
Advanced video analytic systems, including scene classification and object detection, have
seen widespread success in various domains such as smart cities and autonomous …
seen widespread success in various domains such as smart cities and autonomous …
Video-based abnormal driving behavior detection via deep learning fusions
Video-based abnormal driving behavior detection is becoming more and more popular for
the time being, as it is highly important in ensuring safeties of drivers and passengers in the …
the time being, as it is highly important in ensuring safeties of drivers and passengers in the …
Optimal object detection and tracking in occluded video using DNN and gravitational search algorithm
T Mahalingam, M Subramoniam - Soft Computing, 2020 - Springer
Moving object tracking is an effective optimization procedure based on the impermanent
relevant information associated with the original frames. Suggesting a method with efficient …
relevant information associated with the original frames. Suggesting a method with efficient …
MPNET: An end-to-end deep neural network for object detection in surveillance video
H Wang, P Wang, X Qian - IEEE Access, 2018 - ieeexplore.ieee.org
Object detection is one of the most important topics in computer vision task and has obtained
impressive performance thanks to the use of deep convolutional neural network. For object …
impressive performance thanks to the use of deep convolutional neural network. For object …
Stand for development of tasks of detection and recognition of objects on image
I Bikmullina, N Andreyanov… - 2019 International …, 2019 - ieeexplore.ieee.org
The article discusses a stand for developing procedures on detecting and recognizing
objects in images in the on-board system of an unmanned aerial vehicle. The structure of the …
objects in images in the on-board system of an unmanned aerial vehicle. The structure of the …
A hybrid gray wolf and genetic whale optimization algorithm for efficient moving object analysis
T Mahalingam, M Subramoniam - Multimedia Tools and Applications, 2019 - Springer
Object detection in realistic situations needs various essential applications. The foremost
applications of machine vision like vision based monitoring system, object tracking etc …
applications of machine vision like vision based monitoring system, object tracking etc …
ACO–MKFCM: an optimized object detection and tracking using DNN and gravitational search algorithm
T Mahalingam, M Subramoniam - Wireless Personal Communications, 2020 - Springer
Object tracking is a dynamic optimization process based on the temporal information related
to the previous frames. Proposing a method with higher precision in complex environments …
to the previous frames. Proposing a method with higher precision in complex environments …
Cascaded CNN method for far object detection in outdoor surveillance
A Ghahremani, E Bondarev… - 2018 14th International …, 2018 - ieeexplore.ieee.org
In maritime surveillance, detection of small ships and vessels located far away in the scene
is of vital importance for behaviour analysis. Comparing to closely located objects, far …
is of vital importance for behaviour analysis. Comparing to closely located objects, far …
基于视频帧间运动估计的无人机图像车辆检测
陈映雪， 丁文锐， 李红光， 王蒙， 王旭 - 北京航空航天大学学报, 2020 - bhxb.buaa.edu.cn
基于人工智能(AI) 芯片搭建轻量化深度神经网络, 可以在无人机(UAV) 机载端实现视频中车辆
目标的自动检测, 具有重要的应用前景. 为此, 提出了一种针对无人机图像车辆目标的检测方法 …
目标的自动检测, 具有重要的应用前景. 为此, 提出了一种针对无人机图像车辆目标的检测方法 …