Name
Abstract | ||
|---|---|---|
In this paper, we focus on setting up a gunshot detection system with high detection performance, robustness to noise and low computational complexity. To achieve these objectives, we formulate a two-stage approach with a less costly impulsive event detection framework followed by a relatively more complex gunshot recognition stage. To improve detection performance of the gunshot recognition stage, we propose a template matching measure in conjunction with the eighth order linear predictive coding coefficients to train a support vector machine classifier. Using an extensive audio database, we were able to achieve a better gunshot recognition performance than with the well-known existing features used for gunshot detection. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICASSP.2013.6637700 | ICASSP |
Keywords | Field | DocType |
audio signal processing,signal detection,weapons,complex gunshot recognition stage,eighth order linear predictive coding coefficient,gunshot detection system,impulsive event detection,support vector machine classifier,template matching measure,Acoustic signal processing,Event detection,Gunshot detection systems,Support vector machines,Template matching | Template matching,Gunfire locator,Pattern recognition,Detection theory,Support vector machine classifier,Computer science,Robustness (computer science),Speech recognition,Artificial intelligence,Audio signal processing,Linear predictive coding,Computational complexity theory | Conference |
ISSN | Citations | PageRank |
1520-6149 | 6 | 0.55 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Talal Ahmed | 1 | 6 | 0.55 |
| Momin Uppal | 2 | 91 | 13.03 |
| Abubakr Muhammad | 3 | 308 | 30.59 |