Object detection in videos involves verifying the presence of an
object in image sequences and possibly locating it precisely for
recognition. Object tracking is to monitor an object's spatial and
temporal changes during a video sequence, including its presence,
position, size, shape, etc. This is done by solving the temporal
correspondence problem, the problem of matching the target region
in successive frames of a sequence of images taken at
closely-spaced time intervals. These two processes are closely
related because tracking usually starts with detecting objects,
while detecting an object repeatedly in subsequent image sequence
is often necessary to help and verify tracking. The book presents a
novel approach for object tracking which is a combination of 2D
phase correlation and Kalman filter.The following areas are
covered. All coding and development process was carried out in
MatLab 7.4(R2007a). Study of image processing and phase correlation
algorithm. Study of Kalman filtering"
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
