Object-Action and Risk-Situation Recognition Using Moment Change and Object Size's Ratio

Object and Action Naming: A Study on Persian-Speaking Children

Objectives: Nouns and verbs are the central conceptual linguistic units of language acquisition in all human languages. While the noun-bias hypothesis claims that nouns have a privilege in children’s lexical development across languages, studies on Mandarin and Korean and other languages have challenged this view. More recent cross-linguistic naming studies on children in German, Turkish,...

Object Recognition based on Local Steering Kernel and SVM

The proposed method is to recognize objects based on application of Local Steering Kernels (LSK) as Descriptors to the image patches. In order to represent the local properties of the images, patch is to be extracted where the variations occur in an image. To find the interest point, Wavelet based Salient Point detector is used. Local Steering Kernel is then applied to the resultant pixels, in ...

Moment Invariants for Object Recognition

Object-Oriented Reasoning about Action and Change

As the scope of logics of action and change continues to increase and powerful research tools are developed, it becomes possible to model larger and more complex scenarios. Unfortunately the scenarios become harder to read and diicult to modify and debug with increasing size and complexity. These problems have been overlooked in the action and change community due to the fact that only smaller ...

Moment based Object Recognition using Artificial Neural Network

In this paper, we propose a Artificial Neural Network(ANN) based scheme for Object recognition.The invariance properties of geometric moments as well as lower order moments corresponding to partially occluded objects are used to train a feedforward ANN. The trained neural network is used to predict the actual moments from the moments of the object with different occlusions. The object is recogn...