Research
in Wireless Camera Networks
The
Purdue-Olympus A-Cubed Project
Wireless
camera networks are more complex than wireless
sensor networks simply because cameras generate
a lot more information than simple scalar sensors
and also because cameras are directional
Object
Tracking Using a Wireless Camera Network
Conventional
cameras networks require an infrastructure of cables
and computers to transmit, store and process the
information coming from the cameras. In many applications,
it is undesirable, or
Object Tracking on SIMD-based Smart Cameras
Using Parallel Histogram-based Particle Filter
As the demand
for low-power, portable, and networked computing
devices continues to increase, it is natural that
the number and the complexity of services provided
by such devices will only grow.
Tracking Humans with a Wired Camera Network
The
ability of machines to detect humans and recognize
their activities in an environment is an essential
part of allowing a machine to interact with humans
easily and efficiently. The existing
Distributed
Online Localization of Wireless Camera-based Sensor
Networks by Tracking Multiple Moving Objects
A
typical wireless sensor network consists of a large
number of sensor nodes densely deployed in the
field, each equipped with wireless communication,
sensing and computing capabilities with a
Sensor
Selection Problem in Large Camera-Based Sensor
Networks
Modern
navigation, mapping and surveillance systems require
numerous vision sensors to be mounted at random
locations over a geographically large area. One
of the most important research issues in
Line
Tracking for Assembly-on-the-fly
The
goal of this project is to develop a vision-guided
robotic system that can operate on a moving assembly
line. With full automation of work cells without
stopping the assembly line, the proposed
3D
Tracking of 3D Rigid Objects with Direct Image
Alignment and Local Appearance Based Feature Matching
We
demonstrate how by combining the notion of modular
eigenspaces with multiple keyframes, an image-alignment
based tracking algorithm can be made to accommodate
large variations in 3D pose. Since
Model-Based 3D Rigid Objects Tracking
The
goal of this work is to develop a visual object
tracking system that can give accurate 3D pose
-- both position and orientation in 3D Cartesian
space -- of a rigid object. Our system tracks a
Content-Based
Image Retrieval from large Medical Image Databases
Content-based
Image Retrieval (CBIR) consists of retrieving the
most visually similar images to a given query image
from a database of images. CBIR from medical image
databases does not aim to
Multimedia
Database for Self-diagnosis of skin lesions
This
project explores a novel approach to web-based
self-diagnosis using multimedia databases. In
contrast with many patient-informing sites available
on the internet, this project allows patients
Interactive
Image Segmentation
Segmentation
is an important computer vision problem. Despite
intensive research for several decades, the problem
stubbornly insists on being unsolved for arbitrary
images. Early on, researchers
Computer
Vision for Recognition of American Sign Language
This
project offers a novel approach to the problem
of automatic recognition, and eventually translation,
of American Sign Language (ASL). We propose to
take advantage of the fact that signs are
Robust
Motion Estimation under Varying Illumination
The
optical-flow approach has emerged as a major technique
for estimating scene and object motion in image
sequences. However, the problem of motion estimation,
in general, is made difficult by
Person
Following using a Vision-Guided Mobile Robot
Person
following with a mobile robot is one of the important
research topics in the machine vision area. It
is believed that mobile robots of the future can
follow people intelligently in the
Illumination
Invariant Color Representation
The
goal of this project is to develop a color space
transformation technique that adapts the color
space to the color of the illuminant and leads
a new color representation that is more independent
Hierarchical
Data Structure for Real-Time Background Subtraction
One
of the drawbacks of background subtraction methods
for motion detection is a slow processing time. Consequently,
real-time motion detection at 30 frames per second
with an image size of 480 by
Segmentation
of Apple Fruit from Video via Background Modeling
The
cost of labor for orchard tasks currently accounts
for over 50% of orchardists' costs.
In addition, the seasonal nature of many orchard
tasks and high volume of workers needed results
in a
3D
Modeling of Optically Challenging Real-World Objects
One
of the challenges in 3D modeling results from the
fact that many real-world objects have surface
materials that are not ideal for optical range
sensors.
Various surface materials that cause
Managing
Complexity of Large/Ultra Large Software System
SLIM
Today
there exist many important applications in business
and commerce that consist of millions of lines
of code that are becoming increasingly difficult
to maintain. These applications have been