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Many classical visual odometry and simultaneous localization and mapping methods are able to achieve excellent performance, but mainly are restricted on the static scenes and suffer degeneration when there are many dynamic objects. In this paper, an efficient coarse-to-fine algorithm is proposed for moving object detection in dynamic scenes for autonomous driving. A motion-based conditional random...
This paper describes a novel approach for fast detecting small maritime objects in infrared (IR) images. It is based on the local minimum patterns (LMP), which are theoretically the approximations of some stationary wavelet transforms (SWT). Using LMP to estimate the background with a single image, we obtain an object-aware saliency map by background subtraction. Regions of potential objects are then...
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