The abuse of high beam lights dazzles the opposite drivers when vehicles meet at night, which can easily cause traffic accidents. existing night vision anti-halation algorithms based on different-source image fusion eliminate halation and obtain images with rich color details. However, mistakenly some high-brightness important information. In order to address problem, a algorithm low-frequency ...

In this work, we propose a framework for segmenting and tracking objects in a static scene using 2D image sequences taken from different viewpoints. The system includes the use of a set of simple algorithms to segment, identify, group and track the semantic objects modeled as a set of regions with compatible surface features. The integration of these algorithms for design of the system is the m...

In recent times, capturization of video became more feasible with the advanced technologies in camera. Those videos get easily contaminated by noise due to the characteristics of image sensors. Surveillance sequences not only have static scenes but also dynamic scenes. Many efforts have been taken to reduce video noise. Averaging the frame as an image had limited denoising effect and resulted i...

multiple people detection and tracking is a challenging task in real-world crowded scenes. in this paper, we have presented an online multiple people tracking-by-detection approach with a single camera. we have detected objects with deformable part models and a visual background extractor. in the tracking phase we have used a combination of support vector machine (svm) person-specific classifie...

In this paper we propose a system that is able to distinguish moving and stopped objects in digital image sequences taken from stationary cameras. Our approach is based on self organization through artificial neural networks to construct a model of the scene background and a model of the scene foreground that can handle scenes containing moving backgrounds or gradual illumination variations, he...

We introduce in this paper a shadow detection method for vehicles in traffic video sequences. Our method approximates the boundary between vehicles and their associated shadows by one or more straight lines. These lines are located in the image by exploiting both local information (e.g. statistics in intensity differences) and global information (e.g. principal edge directions). The proposed me...

Polyhedral scene analysis studies whether a 2D line drawing of a 3D polyhedron is realizable in the space, and if so, parameterizing the space of all possible realizations. For generic 2D data, symbolic computation with Grassmann-Cayley algebra is needed in the analysis. In this paper, we propose a method called parametric calotte propagation to solve the realization and parameterization proble...