Feature-Based Reasoning Trail Detection

Christy Chism; John Wright; Jeff Umbarger

doi:10.1117/12.969887

1 March 1990 Feature-Based Reasoning Trail Detection

Christy Chism, John Wright, Jeff Umbarger

Proceedings Volume 1195, Mobile Robots IV; (1990) https://doi.org/10.1117/12.969887
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

Abstract

Map data can provide contextual cues that enhance ATR system performance. Maps, however, sometimes lack scene cues such as secondary trails. In these instances, trail detection requires map-independent approaches. Therefore, we have developed a feature-based trail detection algorithm. Its low-level function extracts features (edges, lines) that characterize trail geometry. A high-level function evaluates scene features, ranks them according to their trail-like attributes, and applies rules. Rules interpret complicated scenarios such as partial trail occlusion and high trail curvature. The algorithm demonstrates robust performance on both FLIR and TV imagery.

Citation Download Citation

Christy Chism, John Wright, and Jeff Umbarger "Feature-Based Reasoning Trail Detection", Proc. SPIE 1195, Mobile Robots IV, (1 March 1990); https://doi.org/10.1117/12.969887

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