Object Recognition and Object Categorization in Animals

نویسندگان

  • MASAKO JITSUMORI
  • JUAN D. DELIUS
چکیده

One of the most important attributes of cognitive activities in both human and nonhuman animals is the ability to recognize individual objects and to categorize a variety of objects that share some properties. Wild-living spider monkeys, for example, individually recognize their partners and a large number of other conspecifics quickly and accurately regardless of their highly variable spatial attitudes and also discriminate them from other species (T. Delius, personal observation). Object recognition and object categorization are both equally vital for most of the advanced animals. The retinal image of an object varies as a function of orientations, distances, lighting conditions, background scenes, and so forth at the time of viewing. Invariance operations are required for animals to identify objects despite variability of retinal stimulation. Observers may recognize the differences in orientation, location, size, and other aspects, but these differences do not obscure the identity of the objects. On the other hand, animals categorize a large number of individual objects into the same classes. There is little or no doubt that animals categorize natural objects sharing some properties, such as edible, water-offering, mateable, threatening, and so forth. The ability for animals to categorize objects enables them to learn about their environments economically with a drastic decrease in the stimulus information that they have to cope with. The processes that underlie object recognition and object categorization may well differ, but both require a common response to a variety of visual inputs. Pooling of a plurality of sensory inputs into fewer but more comprehensive signals is of great ecological relevance for animals. How and to what extent is such information pooling accomplished by animals?

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Urban Vegetation Recognition Based on the Decision Level Fusion of Hyperspectral and Lidar Data

Introduction: Information about vegetation cover and their health has always been interesting to ecologists due to its importance in terms of habitat, energy production and other important characteristics of plants on the earth planet. Nowadays, developments in remote sensing technologies caused more remotely sensed data accessible to researchers. The combination of these data improves the obje...

متن کامل

Application of Combined Local Object Based Features and Cluster Fusion for the Behaviors Recognition and Detection of Abnormal Behaviors

In this paper, we propose a novel framework for behaviors recognition and detection of certain types of abnormal behaviors, capable of achieving high detection rates on a variety of real-life scenes. The new proposed approach here is a combination of the location based methods and the object based ones. First, a novel approach is formulated to use optical flow and binary motion video as the loc...

متن کامل

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 ...

متن کامل

Parallel Spatial Pyramid Match Kernel Algorithm for Object Recognition using a Cluster of Computers

This paper parallelizes the spatial pyramid match kernel (SPK) implementation. SPK is one of the most usable kernel methods, along with support vector machine classifier, with high accuracy in object recognition. MATLAB parallel computing toolbox has been used to parallelize SPK. In this implementation, MATLAB Message Passing Interface (MPI) functions and features included in the toolbox help u...

متن کامل

Low Cost UAV-based Remote Sensing for Autonomous Wildlife Monitoring

In recent years, developments in unmanned aerial vehicles, lightweight on-board computers, and low-cost thermal imaging sensors offer a new opportunity for wildlife monitoring. In contrast with traditional methods now surveying endangered species to obtain population and location has become more cost-effective and least time-consuming. In this paper, a low-cost UAV-based remote sensing platform...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012