Optical time-domain analog pattern correlator for high-speed real-time image recognition

2011 ◽  
Vol 36 (2) ◽  
pp. 220 ◽  
Author(s):  
Sang Hyup Kim ◽  
Keisuke Goda ◽  
Ali Fard ◽  
Bahram Jalali
Keyword(s):  
Real Time ◽  
Image Recognition ◽  
Time Domain ◽  
High Speed ◽  
Real Time Image ◽  
Optical Time ◽  
Time Image

Collective Knowledge Workflow for Real-Time Image Recognition Using Collaborative IoT Devices

2018 ◽  
Author(s):  
Ramyad Hadidi ◽  
Jiashen Cao ◽  
Matthew Woodward ◽  
Michael S. Ryoo ◽  
Hyesoon Kim
Keyword(s):  
Real Time ◽  
Image Recognition ◽  
Collective Knowledge ◽  
Real Time Image ◽  
Iot Devices ◽  
Time Image

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 Design of Real-Time Image Processing Platform Based on TMS320C6678

2014 ◽  
Vol 971-973 ◽  
pp. 1454-1458
Author(s):  
Lei Qu ◽  
Yan Tian ◽  
Jun Liu
Keyword(s):  
Image Processing ◽  
Real Time ◽  
High Speed ◽  
Processing System ◽  
Large Field ◽  
Real Time Image Processing ◽  
Real Time Image ◽  
High Speed Image Processing ◽  
Processing Platform ◽  
Time Image

For real time target detection, identification and tracking in high frame rates, large field of view images, a real-time image processing system is designed. A TMS320C6678 DSP runs as the chief arithmetic processor of this system and FPGA as the secondary controller. C6678 is compared with the same series C6414 in image compression algorithm test. Experimental results show that the new system has a more effective construct, and higher reliability, and can provide a platform for the new high-speed image processing.

Real-time image recognition using weighted spatial pyramid networks

2017 ◽  
Vol 15 (3) ◽  
pp. 617-629 ◽  
Author(s):  
Xiaoning Zhu ◽  
Qingyue Meng ◽  
Lize Gu
Keyword(s):  
Real Time ◽  
Image Recognition ◽  
Real Time Image ◽  
Time Image ◽  
Spatial Pyramid
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