2024年6月13日发(作者：安莎莉)
PETS2006年基准数据-数据集S4 (Take 5-A)(PETS
2006 Benchmark Data-Dataset S4 (Take 5-A))
数据介绍：
The data-sets are multi-sensor sequences containing left-luggage
scenarios with increasing scene complexity. The results of processing the
datasets are to submitted in XML format (details below).
关键词：
PETS 2006年,基准,被留下的行李,多传感器序列,情景, PETS
2006,benchmark,Left-Luggage,multi-sensor sequences,scenarios,
数据格式：
IMAGE
数据详细介绍：
PETS 2006 Benchmark Data- Dataset
Overview
The data-sets are multi-sensor sequences containing left-luggage scenarios
with increasing scene complexity. The results of processing the datasets are to
submitted in XML format (details below).
Please e-mail datasets@ if you require assistance obtaining
these data-sets for the workshop.
Aims and Objectives
The aim of this workshop is to use existing systems for the detection of left (i.e.
abandoned) luggage in a real-world environment. The scenarios are filmed
from multiple cameras and involve multiple actors.
Definition of Left-Luggage
Left-luggage in the context of PETS 2006 is defined as items of luggage that
have been abandoned by their owner. In the published scenarios each item of
luggage has one owner and each person owns at most one item of luggage.
To implement a system based on this definition there are three additional
components that need to be defined:
items are classed as luggage? Luggage is defined to include all types
of baggage that can be carried by trunks, bags, rucksacks,
backpacks, parcels, and suitcases.
Five common types of luggage are considered in this study:
1. Briefcase
2. Suitcase
3. 25 litre rucksack
4. 70 litre backpack
5. Ski gear carrier
constitutes attended and unattended luggage? In this study three rules
are used to determine whether luggage is attended to by a person (or not):
1. A luggage is owned and attended to by a person who enters the scene
with the luggage until such point that the luggage is not in physical
contact with the person (contextual rule).
2024年6月13日发(作者：安莎莉)
PETS2006年基准数据-数据集S4 (Take 5-A)(PETS
2006 Benchmark Data-Dataset S4 (Take 5-A))
数据介绍：
The data-sets are multi-sensor sequences containing left-luggage
scenarios with increasing scene complexity. The results of processing the
datasets are to submitted in XML format (details below).
关键词：
PETS 2006年,基准,被留下的行李,多传感器序列,情景, PETS
2006,benchmark,Left-Luggage,multi-sensor sequences,scenarios,
数据格式：
IMAGE
数据详细介绍：
PETS 2006 Benchmark Data- Dataset
Overview
The data-sets are multi-sensor sequences containing left-luggage scenarios
with increasing scene complexity. The results of processing the datasets are to
submitted in XML format (details below).
Please e-mail datasets@ if you require assistance obtaining
these data-sets for the workshop.
Aims and Objectives
The aim of this workshop is to use existing systems for the detection of left (i.e.
abandoned) luggage in a real-world environment. The scenarios are filmed
from multiple cameras and involve multiple actors.
Definition of Left-Luggage
Left-luggage in the context of PETS 2006 is defined as items of luggage that
have been abandoned by their owner. In the published scenarios each item of
luggage has one owner and each person owns at most one item of luggage.
To implement a system based on this definition there are three additional
components that need to be defined:
items are classed as luggage? Luggage is defined to include all types
of baggage that can be carried by trunks, bags, rucksacks,
backpacks, parcels, and suitcases.
Five common types of luggage are considered in this study:
1. Briefcase
2. Suitcase
3. 25 litre rucksack
4. 70 litre backpack
5. Ski gear carrier
constitutes attended and unattended luggage? In this study three rules
are used to determine whether luggage is attended to by a person (or not):
1. A luggage is owned and attended to by a person who enters the scene
with the luggage until such point that the luggage is not in physical
contact with the person (contextual rule).