ProCAVIAR: Hybrid Data-Driven and Probabilistic Knowledge-Based Activity Recognition
نویسندگان
چکیده
منابع مشابه
Video-based event recognition: activity representation and probabilistic recognition methods
We present a new representation and recognition method for human activities. An activity is considered to be composed of action threads, each thread being executed by a single actor. A single-thread action is represented by a stochastic finite automaton of event states, which are recognized from the characteristics of the trajectory and shape of moving blob of the actor using Bayesian methods. ...
متن کاملExtending knowledge-driven activity models through data-driven learning techniques
Knowledge-driven activity recognition is an emerging and promising research area which has already shown very interesting features and advantages. However, there are also some drawbacks, such as the usage of generic and static activity models. This paper presents an approach to using data-driven techniques to evolve knowledge-driven activity models with a user’s behavioral data. The approach in...
متن کاملTime Driven Activity Based Costing : Theory,Applications and Limitations
The aim of this study is to explore the strategic applications and limitations of Time-driven Activity-based Costing (TDABC) and to evaluate the degree of accuracy of the proponents’ arguments concerning its usefulness. In this study, published works directly related to this area from the period 2004-2015 are analyzed. This study reports TDABC's applications in strategic areas such as cost of p...
متن کاملA New Ontology-Based Approach for Human Activity Recognition from GPS Data
Mobile technologies have deployed a variety of Internet–based services via location based services. The adoption of these services by users has led to mammoth amounts of trajectory data. To use these services effectively, analysis of these kinds of data across different application domains is required in order to identify the activities that users might need to do in different places. Researche...
متن کاملKCAR: A knowledge-driven approach for concurrent activity recognition
Recognising human activities from sensors embedded in an environment or worn on bodies is an important and challenging research topic in pervasive computing. Existing work on activity recognition is mainly concerned with identifying single user sequential activities from well-scripted or pre-segmented sequences of sensor events. However a real-world environment often contains multiple users, wi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.3015091