Results 111 to 120 of about 11,032 (163)

Object Detection Techniques in Videos

International Journal of Innovative Technology and Exploring Engineering, 2019
Object detection in videos has increased its popularity because of its wider applications. It has gained more research attention now days as it is applicable in real time situations like pedestrian detection, anomaly detection, Self moving cars, sports, counting of people etc.
openaire   +1 more source

Real-time multiple object tracking using virtual shells [PDF]

, 2012
This paper presents a new multiple object tracking framework where arbitrarily shaped complex objects having severe occlusions are successfully tracked in real-time using stationary cameras.
Erdoğan, Hakan, Kekeç, İbrahim Taygun, Ünel, Mustafa   +2 more
core  

Temporal Meta-Adaptor for Video Object Detection [PDF]

Proceedings of the British Machine Vision Conference 2021, 2021
Wang, Chi, Hua, Yang, Lu, Zheng, Gao, Jian, Robertson, Neil   +4 more
openaire   +2 more sources

Video frame feeding approach for validating the performance of an object detection model in real-world conditions

Automatika
The challenge of evaluating deep learning-based object detection models in complex traffic scenarios, characterized by changing weather and lighting conditions, is addressed in this study. Real-world testing proves time and cost-intensive, leading to the
Keerthi Jayan, B. Muruganantham
doaj   +1 more source

DALES: Automated Tool for Detection, Annotation, Labelling and Segmentation of Multiple Objects in Multi-Camera Video Streams

In this paper, we propose a new software tool called DALES to extract semantic information from multi-view videos based on the analysis of their visual content. Our system is fully automatic and is well suited for multi-camera environment.
Olszewska, Joanna Isabelle, Bhat, M.
core  

Spatio-Temporal Volume-based Video Event Detection

Online and offline video clips provide rich information on dynamic events that occurred over a period of time, for example, human actions, crowd behaviours, and other subject pattern changes.
Wang, Jing
core  

Automated camera ranking and selection using video content and scene context

, 2012
PhDWhen observing a scene with multiple cameras, an important problem to solve is to automatically identify “what camera feed should be shown and when?” The answer to this question is of interest for a number of applications and scenarios ranging from ...
Daniyal, Fahad M., Daniyal, Fahad M
core  

Hierarchical video summarisation in reference frame subspace

, 2009
In this paper, a hierarchical video structure summarization approach using Laplacian Eigenmap is proposed, where a small set of reference frames is selected from the video sequence to form a reference subspace to measure the dissimilarity between two ...
Sadka, AH, Crookes, D, Jiang, RM
core  

Object Detection and Tracking using Watershed Segmentation and KLT Tracker

, 2020
In this paper a moving object is extracted from a video using video object detection algorithm based on spatial and temporal segmentation The technique begins with temporal segmentation in which edge map is extracted using edge operator The initial ...
Tunirani Nayak, Nilamani Bhoi
core  

Stationary Object Detection in Video

, 2015
Computer Vision is an expression which summarise the area of which image and video analysis is made automatically by computers after given instructions for a specific purpose. VCA (Video Content Analysis) is a subcategory which handles analysis on video files or cameras.
openaire   +1 more source