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In this paper, we propose a novel feature descriptor for person re-identification without personal information. It is called Water-Drop Render Box (WDRB). The WDRB method is calculated by three steps with target color and its histogram: registration of target color, transformation of distance map, and enhancement of color using target histogram. In order to calculate WDRB, person's top-view images...
Vega software is widely used for infrared simulation. This study proposes a method for evaluating the effect of infrared objective stealth based on Vega software combined with image feature point matching technique. Vega software is used to simulate a group of infrared images before and after target stealth. Afterwards, feature points are acquired from the target images. Hausdorff distance between...
One of the key problems of information extraction is to design a cross domain extraction procedure that can adapt different domain topics and text formats. However, most information extraction methods focus on specific areas or only have limited scalability for semi-structured texts. We argue that the problem of cross domain information extraction is basically introduced by domain related features...
This paper describes an effective method for detecting multiple symmetric objects in an image. A “pseudo-affine invariant SIFT” is used for detecting symmetric feature pairs in perspective images. Candidates of symmetric axes are estimated from every two symmetric feature pairs, and the one supported by the most symmetric feature pairs is detected as the most relevant symmetric axis of a symmetric...
How to map from texts to structured case representations and how to automatically generate representations have become the research hotspot in the fields of Textual Case-based Reasoning (TCBR). This paper presents methods that support automatically generation ontology-based representation for textual cases. We used the Ontology to describe the relationship between terms in application fields. First,...
Viola et al. have introduced a fast object detection scheme based on a boosted cascade of haar-like features. In this paper, we introduce a novel ternary feature that enriches the diversity and the flexibility significantly over haar-like features. We also introduce a new genetic algorithm based method for training effective ternary features. Experimental results showed that the rejection rate can...
Viola et al. have introduced a fast object detection scheme based on a boosted cascade of haar-like features. In this paper, we introduce a novel ternary feature that enriches the diversity and the flexibility significantly over haar-like features. We also introduce a new genetic algorithm (GA) based method for training effective ternary features through iterations of feature generation and selection...
In this paper, we present a clustering-based tracking algorithm for tracking people (e.g. hand, head, eyeball, body). A human body often appears as a concave object or an object with apertures. In this case, many background areas are mixed into the tracking target which are difficult to be removed by modifying the shape of the search area during tracking. This algorithm realizes the robust tracking...
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