Package edu.gsu.cs.dmlab.tracking.stages

Class StageTwo

java.lang.Object

edu.gsu.cs.dmlab.tracking.stages.BaseUpperStage

edu.gsu.cs.dmlab.tracking.stages.StageTwo

All Implemented Interfaces:

ISTProcessingStage

public class StageTwo
extends BaseUpperStage

The first iteration of second stage in the iterative tracking algorithm of Kempton et. al 2015 and 2018.

Author:

Dustin Kempton, Data Mining Lab, Georgia State University

Field Summary

Fields inherited from class edu.gsu.cs.dmlab.tracking.stages.BaseUpperStage

maxFrameSkip

Constructor Summary

Constructors

Constructor	Description
StageTwo(ISTSearchAreaProducer predictor, ISTEventTrackingFactory factory, ISTTrackingTrajectoryIndexer tracksIdxr, ISTTrackingEventIndexer evntIdxr, int maxFrameSkip, int numThreads)	Constructor

Method Summary

Methods inherited from class edu.gsu.cs.dmlab.tracking.stages.BaseUpperStage

finalize, process

Methods inherited from class java.lang.Object

clone, equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

StageTwo

public StageTwo(ISTSearchAreaProducer predictor,
                ISTEventTrackingFactory factory,
                ISTTrackingTrajectoryIndexer tracksIdxr,
                ISTTrackingEventIndexer evntIdxr,
                int maxFrameSkip,
                int numThreads)

Constructor

Parameters:

predictor - Used for predicting the location of an event given its current location and an elapsed time period.

factory - Factory used to create new objects needed to process the tracks at this stage.

tracksIdxr - Indexer of the current tracks to process in this stage.

evntIdxr - Indexer of all events taken as input into the program at the beginning. This is mostly used to determine the observation probability in the association problem.

maxFrameSkip - The maximum number of skipped frames allowed between a detection and its possible association match.

numThreads - The number of threads to use when processing batch. -1 for all available > 0 for a specific number.