scholarly journals High-Accuracy Real-Time Fish Detection Based on Self-Build Dataset and RIRD-YOLOv3

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Wenkai Wang ◽  
Bingwei He ◽  
Liwei Zhang
Keyword(s):  
Real Time ◽  
High Accuracy ◽  
Frame Rate ◽  
Detection Accuracy ◽  
Average Precision ◽  
Recovery Algorithm ◽  
Detection Model ◽  
Real Time Image ◽  
Fish Detection ◽  
Time Image

To better detect fish in an aquaculture environment, a high-accuracy real-time detection model is proposed. An experimental dataset was collected for fish detection in laboratory aquaculture environments using remotely operated vehicles. To overcome the inaccuracy of the You Only Look Once v3 (YOLOv3) algorithm in underwater farming environment, a suitable set of hyperparameters was obtained through multiple sets of experiments. Then, a real-time image recovery algorithm is applied before YOLOv3 to reduce the effects of both noise and light on images whilst keeping the real-time capability, leading to a mean average precision of 0.85 and frame rate of 17.6 fps, respectively. Finally, compared with the base detection model using only the YOLOv3 algorithm, the enhanced detection model presented results in a reduction of miss detection rate from 23% to only 9% across different environments and with the detection accuracy of the target in different environments being improved from 8% to 37%.

Real-Time Image Mosaicing System Using a High-Frame-Rate Video Sequence

2015 ◽  
Vol 27 (1) ◽  
pp. 12-23 ◽  
Author(s):  
Qingyi Gu ◽  
◽  
Sushil Raut ◽  
Ken-ichi Okumura ◽  
Tadayoshi Aoyama ◽  
...  
Keyword(s):  
Real Time ◽  
High Speed ◽  
Video Sequence ◽  
Frame Rate ◽  
Image Mosaicing ◽  
Current Frame ◽  
High Frame Rate ◽  
Harris Corner ◽  
Real Time Image ◽  
Time Image

<div class=""abs_img""><img src=""[disp_template_path]/JRM/abst-image/00270001/02.jpg"" width=""300"" />Synthesized panoramic images</div> In this paper, we propose a real-time image mosaicing system that uses a high-frame-rate video sequence. Our proposed system can mosaic 512 × 512 color images captured at 500 fps as a single synthesized panoramic image in real time by stitching the images based on their estimated frame-to-frame changes in displacement and orientation. In the system, feature point extraction is accelerated by implementing a parallel processing circuit module for Harris corner detection, and hundreds of selected feature points in the current frame can be simultaneously corresponded with those in their neighbor ranges in the previous frame, assuming that frame-to-frame image displacement becomes smaller in high-speed vision. The efficacy of our system for improved feature-based real-time image mosaicing at 500 fps was verified by implementing it on a field-programmable gate array (FPGA)-based high-speed vision platform and conducting several experiments: (1) capturing an indoor scene using a camera mounted on a fast-moving two-degrees-of-freedom active vision, (2) capturing an outdoor scene using a hand-held camera that was rapidly moved in a periodic fashion by hand. </span>

A Technology of Composite Real-Time Image Processing of Profile Measurement

2011 ◽  
Vol 383-390 ◽  
pp. 4884-4888
Author(s):  
Tian Ze Li ◽  
Ke Ping Hu ◽  
Luan Hou ◽  
Chuan Jiang ◽  
Heng Wei Lu ◽  
...  
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Real Time ◽  
Laser Scanning ◽  
High Accuracy ◽  
Profile Measurement ◽  
Real Time Image Processing ◽  
Real Time Image ◽  
Image Area ◽  
Time Image

This paper, innovative approaches are based on laser scanning and image analysis, presents an efficient composite technique for object profile extraction with real-time image processing. High throughput is obtained by algorithmic prefiltering to restrict the image area, while high accuracy is achieved by neural recontruction of the profile.

scholarly journals A Star Image Extractor for the Nano-JASMINE satellite

2007 ◽  
Vol 3 (S248) ◽  
pp. 294-295
Author(s):  
M. Yamauchi ◽  
N. Gouda ◽  
Y. Kobayashi ◽  
T. Tsujimoto ◽  
T. Yano ◽  
...  
Keyword(s):  
Control System ◽  
Real Time ◽  
Attitude Control ◽  
Image Data ◽  
High Accuracy ◽  
Attitude Control System ◽  
Image Processor ◽  
Star Image ◽  
Real Time Image ◽  
Time Image

AbstractWe have developped a software of Star-Image-Extractor (SIE) which works as the on-board real-time image processor. It detects and extracts only the object data from raw image data. SIE has two functions: reducing image data and providing data for the satellite's high accuracy attitude control system.

Sign in / Sign up

Export Citation Format

Share Document