Searching a cluttered scene

Token tracking in a cluttered scene

A Hand Finding and Segmenting in a Partially Cluttered Scene

In this paper, we discuss a system for finding and segmenting a human hand, which is holding an object. This is a difficult computer vision problem, because of the many degrees of freedom, the flexibility, and the clutter problem of the hand. In order to find the correspondences, we have used a lateral similarity function. In the lateral excitation we have not only compare-ed different features...

Strategies for Tracking Tokens in a Cluttered Scene

Tracking is an important approach to analyze long sequences of images in Computer Vision. Although it has extensively been studied in other domains such as in radar imagery, it was introduced only recently in Computer Vision, and is already recognized as an efficient approach to solving correspondence and motion problems. We describe in this paper some strategies for tracking with emphasis on p...

Wavelet Transform Based License Plate Detection for Cluttered Scene

This paper presents a wavelet transform based method for extracting license plates from cluttered images. The proposed system consists of three major stages. First, a wavelet transform based method is used for extracting important contrast features as guides to search for desired license plates. Then, finding a reference line in HL subimage plays an important role to locate the desired license ...

M Tracker: A Multi-View Approach to Segmenting and Tracking People in a Cluttered Scene

When occlusion is minimal, a single camera is generally sufficient to detect and track objects. However, when the density of objects is high, the resulting occlusion and lack of visibility suggests the use of multiple cameras and collaboration between them so that an object is detected using information available from all the cameras in the scene. In this paper, we present a system that is capa...