A Domain Independent Approach to 2D Object Detection Based on the Neural and Genetic Paradigms (2000) [7 citations — 1 self]
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author = {Mengjie Zhang and Supervisors Dr. Victor Ciesielski},
title = {A Domain Independent Approach to 2D Object Detection Based on the Neural and Genetic Paradigms},
institution = {},
year = {2000}
}
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Abstract:
The development of traditional object detection systems usually involves a time consuming investigation of good preprocessing and filtering methods and a hand-crafting of different programs for the extraction and selection of important image features in different problem domains. To avoid these problems, this thesis describes a domain independent approach to multiple class, translation and rotation invariant object detection problems without any preprocessing, segmentation and specific feature extraction. The approach is based on learning/adaptive methods -- neural networks, genetic algorithms and genetic programming. Rather than using specific image features, raw image pixel values or pixel statistics are used as inputs to the learning/adaptive systems. Six object detection methods...
Citations
| 15 | Genetic programming for multiple class object detection – Zhang, Ciesielski - 1999 |
| 2 | Using back propagation algorithm and genetic algorithms to train and re neural networks for object detection – Zhang, Ciesielski - 1999 |
| 1 | Centred weight initialisation to improve the performance of network training speed and the performance of object detection – Zhang, Ciesielski - 1998 |
| 1 | Centred weight initialisation in neural networks for object detection – Zhang, Ciesielski - 1999 |
