Name
Title | ||
|---|---|---|
Probabilistic neural networks based moving vehicles extraction algorithm for intelligent traffic surveillance systems |
Abstract | ||
|---|---|---|
utomated vehicle detection plays an essential role in the traffic video surveillance system. Video communication of these traffic cameras over real-world limited bandwidth networks can frequently suffer network congestion or unstable bandwidth, especially in regard to wireless systems. This often hinders the detection of moving vehicles in variable bit-rate video streams. This paper presents a novel approach for vehicle detection based on probabilistic neural networks through artificial neural networks, which can accurately detect moving vehicles not only in high bit-rate video streams but also in low bit-rate video streams. The overall results of detection accuracy analyses demonstrate that the proposed approach has a substantially higher degree of both qualitative and quantitative efficacy than other state-of-the-art methods. For instance, the proposed method achieved Similarity and F 1 accuracy rates that were up to 61.75% and 69.38% higher than the other compared methods, respectively. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.ins.2014.12.033 | Information Sciences: an International Journal |
Keywords | Field | DocType |
variable bit rate,neural network | Extraction algorithm,Computer science,Computer network,Real-time computing,Artificial intelligence,Network congestion,Probabilistic logic,Artificial neural network,Vehicle detection,Bandwidth (signal processing),Video tracking,Machine learning,Variable bitrate | Journal |
Volume | Issue | ISSN |
299 | C | 0020-0255 |
Citations | PageRank | References |
16 | 0.62 | 22 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bo-Hao Chen | 1 | 244 | 21.00 |
| Shih-Chia Huang | 2 | 657 | 42.31 |