An Event Detection Approach Based on Improved CUSUM Algorithm and Kalman Filter

2020 ◽  
Author(s):  
Kaijie Fang ◽  
Yixuan Huang ◽  
Qifeng Huang ◽  
Shihai Yang ◽  
Zhixin Li ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Event Detection ◽  
Detection Approach

scholarly journals Improving Event detection in Cricket Videos Using Audio Feature Analysis

2021 ◽  
Vol 15 ◽  
pp. 434-438
Author(s):  
S. C. Premaratne ◽  
A. Gamanayake ◽  
K. L. Jayarat ◽  
P. Sellappan
Keyword(s):  
Event Detection ◽  
Hidden Markov ◽  
Time Frame ◽  
Modeling Processes ◽  
Feature Analysis ◽  
Noise Levels ◽  
Efficient Tool ◽  
Automatic Indexing ◽  
Detection Approach ◽  
Key Events

This paper discusses an event detection approach based on audio, which proves to be effective when applied to the audio component of cricket television broadcaster’s video. In this approach, both crowed noise levels which is in the background and commentator voice which is in focus are considered correlated to key events in the time frame. Classifiers related to Hidden Markov Model (or HMM) are utilized as it is an efficient tool for modeling processes varying with time and broadly used in the area of speech recognition. This experiment done using cricket television broadcaster videos, was successful thus this method can be used for automatic indexing of audio (or video containing audio) for quick searching or segmentation.

A scene-dependent sound event detection approach using multi-task learning

2021 ◽  
pp. 1-1
Author(s):  
Han Liang ◽  
Wanting Ji ◽  
Ruili Wang ◽  
Yaxiong Ma ◽  
Jincai Chen ◽  
...  
Keyword(s):  
Event Detection ◽  
Task Learning ◽  
Detection Approach ◽  
Sound Event ◽  
Sound Event Detection
Sign in / Sign up

Export Citation Format

Share Document