Improvement of Particle Filtering for Intersection of Targets with Similar Patterns
نویسندگان
چکیده
The particle filtering, which is a probability technique, can be used for a robust tracking to noise and occlusion. It often uses characteristics based on the appearance information of a target object, such as color and edge, for calculating likelihood. As far as the appearance information is used, the particle filtering fails to track the target object when it intersects other objects which have similar patterns. This paper proposes a new method for addressing the problem. The method uses color and other characteristics such as velocity information of the tracking object and distance information between tracking objects except the appearance.
منابع مشابه
Use of Semantic Similarity and Web Usage Mining to Alleviate the Drawbacks of User-Based Collaborative Filtering Recommender Systems
One of the most famous methods for recommendation is user-based Collaborative Filtering (CF). This system compares active user’s items rating with historical rating records of other users to find similar users and recommending items which seems interesting to these similar users and have not been rated by the active user. As a way of computing recommendations, the ultimate goal of the user-ba...
متن کاملBrucella melitensis and Mycobacterium tuberculosis depict overlapping gene expression patterns induced in infected THP-1 macrophages
Pathogens infecting mammalian cells have developed various strategies to suppress and evade their hosts’ defensive mechanisms. In this line, the intracellular bacteria that are able to survive and propagate within their host cells must have developed strategies to avert their host’s killing attitude. Studying the interface of host-pathogen confrontation can provide valuable information for defi...
متن کاملIntelligent Approach for Attracting Churning Customers in Banking Industry Based on Collaborative Filtering
During the last years, increased competition among banks has caused many developments in banking experiences and technology, while leading to even more churning customers due to their desire of having the best services. Therefore, it is an extremely significant issue for the banks to identify churning customers and attract them to the banking system again. In order to tackle this issue, this pa...
متن کاملAn Adaptive Hierarchical Method Based on Wavelet and Adaptive Filtering for MRI Denoising
MRI is one of the most powerful techniques to study the internal structure of the body. MRI image quality is affected by various noises. Noises in MRI are usually thermal and mainly due to the motion of charged particles in the coil. Noise in MRI images also cause a limitation in the study of visual images as well as computer analysis of the images. In this paper, first, it is proved that proba...
متن کاملA Secure Chaos-Based Communication Scheme in Multipath Fading Channels Using Particle Filtering
In recent years chaotic secure communication and chaos synchronization have received ever increasing attention. Unfortunately, despite the advantages of chaotic systems, Such as, noise-like correlation, easy hardware implementation, multitude of chaotic modes, flexible control of their dynamics, chaotic self-synchronization phenomena and potential communication confidence due to the very dynami...
متن کامل