Results 51 to 60 of about 11,032 (163)

UWV-Yolox: A Deep Learning Model for Underwater Video Object Detection

Sensors, 2023
Underwater video object detection is a challenging task due to the poor quality of underwater videos, including blurriness and low contrast. In recent years, Yolo series models have been widely applied to underwater video object detection. However, these
Haixia Pan, Jiahua Lan, Hongqiang Wang, Yanan Li, Meng Zhang, Mojie Ma, Dongdong Zhang, Xiaoran Zhao   +7 more
doaj   +1 more source

Seq-NMS for Video Object Detection

CoRR, 2016
Video object detection is challenging because objects that are easily detected in one frame may be difficult to detect in another frame within the same clip. Recently, there have been major advances for doing object detection in a single image. These methods typically contain three phases: (i) object proposal generation (ii) object classification and ...
Wei Han 0002, Pooya Khorrami, Tom Le Paine, Prajit Ramachandran, Mohammad Babaeizadeh, Honghui Shi, Jianan Li 0001, Shuicheng Yan, Thomas S. Huang   +8 more
openaire   +2 more sources

Curvelet transform based feature extraction and selection for multimedia event classification

Journal of King Saud University: Computer and Information Sciences, 2022
Multimedia event classification has been one of the major endeavors in video event analysis. For event identification, feature extraction plays a critical role, merely distinguishing the right features becomes a challenging job.
Kaavya Kanagaraj, G.G. Lakshmi Priya
doaj   +1 more source

A Novel Technique to Detect and Track Multiple Objects in Dynamic Video Surveillance Systems.

International Journal of Interactive Multimedia and Artificial Intelligence, 2022
Video surveillance is one of the important state of the art systems to be utilized in order to monitor different areas of modern society surveillance like the general public surveillance system, city traffic monitoring system, and forest monitoring ...
M. Adimoolam, Senthilkumar Mohan, John A., Gautam Srivastava   +3 more
doaj   +1 more source

Exploiting contextual data for event retrieval in surveillance video [PDF]

, 2009
Contextual information is vital for the robust extraction of semantic information in automated surveillance systems. We have developed a scene independent framework for the detection of events in which we provide 2D and 3D contextual data for the scene ...
Ó Conaire, Ciarán, O'Connor, Noel E., Ciarán Ó Conaire, Kelly, Philip, Philip Kelly, Noel E. O'Connor   +5 more
core   +1 more source

Efficient Video Object Detection Based on Partitioning [PDF]

Jisuanji gongcheng
To address the challenge of balancing accuracy requirements and computational costs of object detection using deep neural networks for video analysis tasks, existing methods predominantly use entire video frames as units for computational resource ...
HUANG Shuyi, TAN Guang
doaj   +1 more source

Object-based video representations: shape compression and object segmentation [PDF]

, 1998
Object-based video representations are considered to be useful for easing the process of multimedia content production and enhancing user interactivity in multimedia productions.
Brady, Noel
core  

ODC-net: Scalable and efficient object detection and classification in multi-object CCTV environments using deep transformer YOLO

Franklin Open
The increasing demand for real-time, accurate, and scalable surveillance systems is driven by the rapid rise in urban Closed-Circuit Television (CCTV) deployments, with global video surveillance expected to generate over 3 billion video hours daily ...
Sridhara Murthy B, Gandla Madhu, Varaganti Manisha, Muttukuri Madhu Krishna, Padmam Divyavalli, Reteneni Naveen   +5 more
doaj   +1 more source

DiffusionVID: Denoising Object Boxes With Spatio–Temporal Conditioning for Video Object Detection

IEEE Access, 2023
Several existing still image object detectors suffer from image deterioration in videos, such as motion blur, camera defocus, and partial occlusion. We present DiffusionVID, a diffusion model-based video object detector that exploits spatio-temporal ...
Si-Dong Roh, Ki-Seok Chung
doaj   +1 more source

Foreground detection of video through the integration of novel multiple detection algorithims [PDF]

, 2013
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel UniversityThe main outcomes of this research are the design of a foreground detection algorithm, which is more accurate and less time consuming than existing ...
Nawaz, Muhammad
core