Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 31-36 |
| Seitenumfang | 6 |
| Fachzeitschrift | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Jahrgang | 1 |
| Publikationsstatus | Veröffentlicht - 11 Juli 2012 |
| Veranstaltung | 22nd Congress of the International Society for Photogrammetry and Remote Sensing, ISPRS 2012 - Melbourne, Australien Dauer: 25 Aug. 2012 → 1 Sept. 2012 |
Abstract
In general, the development of prediction methods is a quite challenging field. However, as difficult the development is, as useful those methods can be in a large variety of use cases. Whether the weather of tomorrow or the destination of a moving individual is to be predicted, in both cases many different aspects have to be considered, because as well as the weather's behaviour the one of individuals, especially human beings, is influenced by many factors. For instance, movements of human beings are either planned, arbitrary or influenced by their environment or social aspects. In most cases a combination of those factors is involved. In this paper, motivated by the context of a decentralized surveillance scenario, we present an approach for predicting movements on the basis of a prediction model generated from the knowledge, which is implicated in spatio-temporal trajectories. This model is based on extracted interesting places and considers several aspects, which contain gained information about the movement behaviour in a given scenario.
ASJC Scopus Sachgebiete
- Erdkunde und Planetologie (insg.)
- Erdkunde und Planetologie (sonstige)
- Umweltwissenschaften (insg.)
- Umweltwissenschaften (sonstige)
- Physik und Astronomie (insg.)
- Instrumentierung
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in: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Jahrgang 1, 11.07.2012, S. 31-36.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - PREDICTION of INDIVIDUAL'S MOVEMENT BASED on INTERESTING PLACES
AU - Feuerhake, Udo
PY - 2012/7/11
Y1 - 2012/7/11
N2 - In general, the development of prediction methods is a quite challenging field. However, as difficult the development is, as useful those methods can be in a large variety of use cases. Whether the weather of tomorrow or the destination of a moving individual is to be predicted, in both cases many different aspects have to be considered, because as well as the weather's behaviour the one of individuals, especially human beings, is influenced by many factors. For instance, movements of human beings are either planned, arbitrary or influenced by their environment or social aspects. In most cases a combination of those factors is involved. In this paper, motivated by the context of a decentralized surveillance scenario, we present an approach for predicting movements on the basis of a prediction model generated from the knowledge, which is implicated in spatio-temporal trajectories. This model is based on extracted interesting places and considers several aspects, which contain gained information about the movement behaviour in a given scenario.
AB - In general, the development of prediction methods is a quite challenging field. However, as difficult the development is, as useful those methods can be in a large variety of use cases. Whether the weather of tomorrow or the destination of a moving individual is to be predicted, in both cases many different aspects have to be considered, because as well as the weather's behaviour the one of individuals, especially human beings, is influenced by many factors. For instance, movements of human beings are either planned, arbitrary or influenced by their environment or social aspects. In most cases a combination of those factors is involved. In this paper, motivated by the context of a decentralized surveillance scenario, we present an approach for predicting movements on the basis of a prediction model generated from the knowledge, which is implicated in spatio-temporal trajectories. This model is based on extracted interesting places and considers several aspects, which contain gained information about the movement behaviour in a given scenario.
KW - Algorithms
KW - Analysis
KW - Development
KW - Modelling
KW - Pattern
KW - Prediction
UR - http://www.scopus.com/inward/record.url?scp=84904871698&partnerID=8YFLogxK
U2 - 10.5194/isprsannals-I-2-31-2012
DO - 10.5194/isprsannals-I-2-31-2012
M3 - Conference article
AN - SCOPUS:84904871698
VL - 1
SP - 31
EP - 36
JO - ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
JF - ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
SN - 2194-9042
T2 - 22nd Congress of the International Society for Photogrammetry and Remote Sensing, ISPRS 2012
Y2 - 25 August 2012 through 1 September 2012
ER -