Real-time Detection and Recognition for Large Numbers of Less-texture Objects
Tao Ju · 2015
The existing objects detection methods can not achieve real-time detection and identification when the object classes are too many.To solve the problem,a real-time detection and recognition algorithm on many classes and textureless objects was put forward.The new algorithm is based on Objectness and gradient direction template.Firstly,it evaluates the potential objects by computing its Objectness value,which can decrease many matching windows.Then in the area where the objects may appear,it detects and recognizes the texture-less objects in many classes using the template matching method based on the main direction of template and lookup table.The robustness of this algorithm to the texture-less object is better.And the algorithm is orientation independent in the process of matching.