Results 61 to 70 of about 11,032 (163)

Event detection in field sports video using audio-visual features and a support vector machine [PDF]

, 2005
In this paper, we propose a novel audio-visual feature-based framework for event detection in broadcast video of multiple different field sports. Features indicating significant events are selected and robust detectors built. These features are rooted in
O'Connor, Noel E., Sadlier, David A., O\u27Connor, Noel E.   +2 more
core   +1 more source

UnCanny: Exploiting Reversed Edge Detection as a Basis for Object Tracking in Video

Journal of Imaging, 2021
Few object detection methods exist which can resolve small objects (
Wesley T. Honeycutt, Eli S. Bridge
doaj   +1 more source

Filtering Empty Video Frames for Efficient Real-Time Object Detection

Sensors
Deep learning models have significantly improved object detection, which is essential for visual sensing. However, their increasing complexity results in higher latency and resource consumption, making real-time object detection challenging.
Yu Liu, Kyoung-Don Kang
doaj   +1 more source

Segmentation-tracking feedback approach for high-performance video surveillance applications

, 2010
Here, a novel and efficient feedback system for moving object segmentation and tracking is proposed. Through the use of non-parametric background-foreground modeling, moving objects are correctly detected in unfavorable situations such as dynamic ...
Narciso Garcia, Carlos Cuevas, García Santos, Narciso, Jaureguizar Núñez, Fernando, Cuevas Rodríguez, Carlos, Carlos R. del Blanco, Fernando Jaureguizar, Blanco Adán, Carlos Roberto del   +7 more
core   +1 more source

Salient object detection in egocentric videos

IET Image Processing
Abstract In the realm of video salient object detection (VSOD), the majority of research has traditionally been centered on third‐person perspective videos. However, this focus overlooks the unique requirements of certain first‐person tasks, such as autonomous driving or robot vision.
Hao Zhang, Haoran Liang 0001, Xing Zhao 0001, Jian Liu, Ronghua Liang   +4 more
openaire   +2 more sources

Detecting Carried Objects in Short Video Sequences [PDF]

, 2008
We propose a new method for detecting objects such as bags carried by pedestrians depicted in short video sequences. In common with earlier work [1,2] on the same problem, the method starts by averaging aligned foreground regions of a walking pedestrian to produce a representation of motion and shape (known as a temporal template) that has some ...
Dima Damen, David C. Hogg
openaire   +3 more sources

Using the discrete hadamard transform to detect moving objects in surveillance video [PDF]

, 2009
In this paper we present an approach to object detection in surveillance video based on detecting moving edges using the Hadamard transform. The proposed method is characterized by robustness to illumination changes and ghosting effects and provides ...
Kim, Chanyul, O'Connor, Noel E., O\u27Connor, Noel E.   +2 more
core  

Green Video Camouflaged Object Detection

2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
Camouflaged object detection (COD) aims to distinguish hidden objects embedded in an environment highly similar to the object. Conventional video-based COD (VCOD) methods explicitly extract motion cues or employ complex deep learning networks to handle the temporal information, which is limited by high complexity and unstable performance. In this work,
Xinyu Wang, Hong-Shuo Chen, Zhiruo Zhou, Suya You, Azad M. Madni, C.-C. Jay Kuo   +5 more
openaire   +2 more sources

A Novel Multiclass Object Detection Dataset Enriched With Frequency Data

IEEE Access
Video analysis has attracted the attention of many researchers because of the growing need for multimedia information retrieval for computer vision applications. Content based retrieval and object-based video retrieval are challenging because of the poor
Chethan Sharma, Shourojit Ghosh, K. B. Ajitha Shenoy, G. Poornalatha   +3 more
doaj   +1 more source

Ontology-Coupled Active Contours for Dynamic Video Scene Understanding [PDF]

, 2011
In this paper, we present an innovative approach coupling active contours with an ontological representation of knowledge, in order to understand scenes acquired by a moving camera and containing multiple non-rigid objects evolving over space and time ...
McCluskey, Thomas L., Thomas L. McCluskey, Olszewska, Joanna Isabelle, Olszewska, Joanna I., Joanna I. Olszewska   +4 more
core   +1 more source