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| Content Provider | Springer Nature Link |
|---|---|
| Author | Mahlknecht, Stefan Oberhammer, Roland vak, Gregor |
| Copyright Year | 2005 |
| Abstract | Intelligent sensors for mobile robots play an important role in many technical applications. In this paper a real-time image recognition system for a tiny autonomous mobile robot is presented, capable of detecting objects in real-time at a frame rate of up to 60 frames/s. The image recognition module has very low power consumption of less than 250 mW and fits into a package of only 35 × 35 mm including a CMOS camera and a low power, high performance signal processor. We propose an object recognition algorithm that is optimized for deeply embedded systems used in energy and performance constrained devices. The algorithm is based on a combination of edge and color detection and uses a fixed model for each object to be recognized. Results of the ball recognition application show that its relative polar coordinates are found within 11 ms. |
| Starting Page | 247 |
| Ending Page | 261 |
| Page Count | 15 |
| File Format | |
| ISSN | 09226443 |
| Journal | Real-Time Systems |
| Volume Number | 29 |
| Issue Number | 2-3 |
| e-ISSN | 15731383 |
| Language | English |
| Publisher | Kluwer Academic Publishers |
| Publisher Date | 2005-01-01 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | image recognition embedded vision platform robot soccer ball detection Performance and Reliability Processor Architectures Special Purpose and Application-Based Systems System Performance and Evaluation Communications Engineering, Networks Control Engineering |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Optimization Computer Networks and Communications Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications Modeling and Simulation |
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