Parallel Architectures and Algorithms for Image Component Labeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
Highly parallel computing (2nd ed.)
Highly parallel computing (2nd ed.)
Communication operations on coarse-grained mesh architectures
Parallel Computing
IBM Systems Journal
The SP2 high-performance switch
IBM Systems Journal
Robot Vision
MPI: The Complete Reference
SIMD and Mixed-Mode Implementations of a Visual Tracking Algorithm
IPPS '98 Proceedings of the 12th. International Parallel Processing Symposium on International Parallel Processing Symposium
A dynamic reconfigurable hardware/software architecture for object tracking in video streams
EURASIP Journal on Embedded Systems
| Hi-index | 0.00 |
As an example of a task that processes complex visual information to generate control signals for a system, an existing feature-based visual tracking algorithm for a static camera was mapped onto two parallel machines representing the MIMD execution model. The algorithm is described and a version suitable for mapping onto parallel machines is developed. Timing results for the implementation on the Intel Paragon and the IBM SP2 are presented, using real image data for all experiments. For each subtask of the algorithm, its performance is measured as a function of data layout. In addition, the impact of the time required to distribute image data across processing elements on the performance is considered. For the subtask of finding the best match of a feature in an image, load balancing approaches dependent on machine characteristics and submachine size are discussed. This type of matching is used in many vision tasks.