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Text detection is a difficult task due to the significant diversity of the texts appearing in natural scene images. In this paper, we propose a novel text descriptor, SPP-net, extracted by equipping the Convolutional Neural Network (CNN) with spatial pyramid pooling. We first compute the feature maps from the original text lines without any cropping or warping, and then generate the fixed-size representations...
The paper presents an efficient and low-cost method for automatically detecting and tracking the moving object from astronomical CCD image sequences, using a combination of active contours and shape feature similarities. An object detection algorithm is firstly implemented following some image preprocessing steps, in order to locate all the major objects in each image. Next, an object tracking method...
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