Tracking partially occluded objects with centripetal active contour

Recognition of Partially Occluded Elliptical Objects using Symmetry on Contour

There are many research efforts in object recognition. Most existing methods for object recognition are based on full objects. However, many images contain multiple objects with occluded shapes and regions. Due to the occlusion of objects, image retrieval can provide incomplete, uncertain, and inaccurate results. To resolve this problem, we propose a new method to reconstruct objects using symm...

Models for Tracking Partially - Occluded Moving Objects in Video

Tracking Deformable Objects with the Active Contour Model

This paper presents a new algorithm for motion tracking of deformable objects by using the active contour model (snake). For robustness, the motion estimation confidence is combined into the snake energy function. Possible degradation measures are also studied for performance monitoring in an interactive tracking system.

Detecting partially occluded objects in images

Object detection is one of the oldest problems in computer vision which have eluded a ’grand unified theory’ till date. Occlusion of objects is a major concern for many object detection algorithms, and indeed all algorithms that output a simple bounding box. The first part of this thesis explores existing research in segmentation-aware object detection, which depends on pixel level binary objec...

Recognition and Reconstruction of Partially Occluded Objects

A new automatic system for the recognition and reconstruction of rescaled and/or rotated partially occluded objects is presented. The objects to be recognized are described by 2D views and each view is occluded by several half-planes. The whole object views and their visible parts (linear cuts) are then stored in a database. To establish if a region R of an input image represents an object poss...