Showing papers by "Reid B. Porter published in 2007"
TL;DR: This paper presents a flexible software/hardware framework for design, implementation and automatic synthesis of cellular image processing algorithms that provides an extremely flexible set of parallel, pipelined and time-multiplexed components which can be tailored through reconfigurable hardware for particular applications.
26 citations
09 Apr 2007
TL;DR: This paper describes its efforts to track cars in low frame rate data (1 frame / second), acquired from a highly unstable airborne platform and proposes an online feature selection approach to this problem and investigates the performance and computational trade-offs with a real-world dataset.
Abstract: In many tracking applications, adapting the target appearance model over time can improve performance. This approach
is most popular in high frame rate video applications where latent variables, related to the objects appearance (e.g.,
orientation and pose), vary slowly from one frame to the next. In these cases the appearance model and the tracking
system are tightly integrated, and latent variables are often included as part of the tracking system's dynamic model. In
this paper we describe our efforts to track cars in low frame rate data (1 frame / second), acquired from a highly unstable
airborne platform. Due to the low frame rate, and poor image quality, the appearance of a particular vehicle varies
greatly from one frame to the next. This leads us to a different problem: how can we build the best appearance model
from all instances of a vehicle we have seen so far. The best appearance model should maximize the future performance
of the tracking system, and maximize the chances of reacquiring the vehicle once it leaves the field of view. We propose
an online feature selection approach to this problem and investigate the performance and computational trade-offs with a
real-world dataset.
2 citations