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Found 10 papers, 3 papers with code
A Graph-Based Method for Soccer Action Spotting Using Unsupervised Player Classification
Action spotting in soccer videos is the task of identifying the specific time when a certain key action of the game occurs.
Modeling long-term interactions to enhance action recognition
In this paper, we propose a new approach to under-stand actions in egocentric videos that exploits the semantics of object interactions at both frame and temporal levels.
Seeing and Hearing Egocentric Actions: How Much Can We Learn?
Our interaction with the world is an inherently multimodal experience.
How Much Does Audio Matter to Recognize Egocentric Object Interactions?
Sounds are an important source of information on our daily interactions with objects.
On the Role of Event Boundaries in Egocentric Activity Recognition from Photostreams
Event boundaries play a crucial role as a pre-processing step for detection, localization, and recognition tasks of human activities in videos.
Determination of Digital Straight Segments Using the Slope
We present a new method for the recognition of digital straight lines based on the slope.
Batch-based Activity Recognition from Egocentric Photo-Streams Revisited
Wearable cameras can gather large a\-mounts of image data that provide rich visual information about the daily activities of the wearer.
Detecting Hands in Egocentric Videos: Towards Action Recognition
Recently, there has been a growing interest in analyzing human daily activities from data collected by wearable cameras.
Batch-Based Activity Recognition from Egocentric Photo-Streams
However, one of its main technical challenges is to deal with the low frame rate of wearable photo-cameras, which causes abrupt appearance changes between consecutive frames.
Recognizing Activities of Daily Living from Egocentric Images
Recognizing Activities of Daily Living (ADLs) has a large number of health applications, such as characterize lifestyle for habit improvement, nursing and rehabilitation services.
