scholarly journals Automatic Acoustic Target Detecting and Tracking on the Azimuth Recording Diagram with Image Processing Methods

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5391
Author(s):  
Fan Yin ◽  
Chao Li ◽  
Haibin Wang ◽  
Fan Yang
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Target Detection ◽  
Ambient Noise ◽  
Arrival Direction ◽  
Processing Methods ◽  
Acoustic Target ◽  
Real Time Tracking ◽  
Passive Acoustic ◽  
Target Detecting

Passive acoustic target detection has been a hot research topic for a few decades. Azimuth recording diagram is one of the most promising techniques to estimate the arrival direction of the interested signal by visualizing the sound wave information. However, this method is challenged by the random ambient noise, resulting in low reliability and short effective distance. This paper presents a real-time postprocessing framework for passive acoustic target detection modalities by using a sonar array, in which image processing methods are used to automate the target detecting and tracking on the azimuth recording diagram. The simulation results demonstrate that the proposed approach can provide a higher reliability compared with the conventional ones, and is suitable for the constraints of real-time tracking.

Design of a New Image Processing System Based on FPGA

2014 ◽  
Vol 1003 ◽  
pp. 216-220 ◽  
Author(s):  
Qi Li ◽  
Yu Yang ◽  
Zhong Ke Li ◽  
Jing Lu
Keyword(s):  
Image Processing ◽  
Unmanned Aerial Vehicles ◽  
Real Time ◽  
Target Detection ◽  
Processing System ◽  
Image Processing Algorithm ◽  
Verilog Hdl ◽  
Video Decoding ◽  
Image Processing System ◽  
Aerial Vehicles

According to the unmanned aerial vehicles real-time video image acquiring and target detection requirements, an image processing system was designed based on FPGA and TVP5150A decoder, and the video decoding hardware and software was also designed to meet the demands of unmanned aerial vehicles. An I2C controller was realized to assure the implementation of video decoding process in accordance with the requirements, and an image processing algorithm and applied to the image recognition process. Both of these were completed in FPGA using verilog HDL language. The correction of this image processing system was verified through real-time experiments.

scholarly journals Image Processing: Methods, Techniques, Applications Review

2021 ◽  
Author(s):  
Yogesh Shankar Ghodake ◽  
Dipak V Bhosale ◽  
Sushil S Kulkarni
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Processing Methods ◽  
Real Time Image Processing ◽  
Current State ◽  
Real Time Image ◽  
Time Image

Nowadays, image processing became very important especially in real-time where the results of real-time image processing failures can be severe; therefore, the study and research in methods of real-time image processing are of extreme significance. The main contribution of this paper is to provide an overview of the current state of real-time image processing research (Applications), the relevant techniques, and methods.

System for 3-D Real-Time Tracking of MRI-Compatible Devices by Image Processing

2008 ◽  
Vol 13 (3) ◽  
pp. 379-382 ◽  
Author(s):  
Marc Rea ◽  
Donald McRobbie ◽  
Haytham Elhawary ◽  
Zion Tsz Ho Tse ◽  
Michael LampÉrth ◽  
...  
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Real Time Tracking

scholarly journals Real time tracking in 3D space by image processing

2008 ◽  
Vol 6 (6) ◽  
pp. 1-13
Author(s):  
Khalid Al-Khateeb ◽  
Mat Awang ◽  
Othman Khalifa
Keyword(s):  
Image Processing ◽  
Real Time ◽  
3D Space ◽  
Real Time Tracking

Pedestrian-Flow Statistics Algorithm Based on Image Processing

2013 ◽  
Vol 347-350 ◽  
pp. 3381-3384
Author(s):  
Hong Mei Jian ◽  
Zheng Xi Wei
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Target Detection ◽  
Mean Shift ◽  
Research Field ◽  
Experimental Results ◽  
Pedestrian Flow ◽  
Coverage Problem ◽  
Mean Shift Algorithm ◽  
Svm Model

The automatic statistics to pedestrian flow can greatly improve the duty staff efficiency and thus becomes the hot research field. This paper presents a pedestrian flow statistics algorithm based on image-processing. Our research is on the basis of color histogram and mean-shift algorithm, and introduces the SVM model through generating confidence function to judge the actual attribute of background pixels. Such way improves the accuracy of target detection. Experimental results prove our algorithm better handles to pedestrian's coverage problem and meets the requirement of real-time and accuracy.

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