Authors : Tawfiq A. Al-Asadi and Fanar Ali Joda
Abstract: Object detection is the most important stage due to it has great impact on next stages. Moving objects detection in dynamic environment has several challenges such as illumination changes (gradual, sudden), noise, dynamic background, etc. Color, texture, edge, motion, transform domain and stereo feature, each of these features has a source of strength to solve a particular problem and at same time has weaknesses to face the other problems. In this research, we will review the local pattern methods which are also called local texture descriptors which are used in background modelling and the detection of moving objects. For each method the mechanism is explained to solve the problems that facing background subtraction. Then, comparison is achieved between benchmark methods in terms of the use of spectral, spatial and temporal information. In addition, determining which type of problems will be resolved by each method separately.
Tawfiq A. Al-Asadi and Fanar Ali Joda, 2017. A Survey: Background Modelling and Object Detection Using Local Texture Features. Journal of Engineering and Applied Sciences, 12: 9304-9312.