Ask'nSeek: A New Game for Object Detection and Labeling
نویسندگان
چکیده
This paper proposes a novel approach to detect and label objects within images and describes a two-player web-based guessing game – Ask’nSeek – that supports these tasks in a fun and interactive way. Ask’nSeek asks users to guess the location of a hidden region within an image with the help of semantic and topological clues. The information collected from game logs is combined with results from content analysis algorithms and used to feed a machine learning algorithm that outputs the outline of the most relevant regions within the image and their names. Two noteworthy aspects of the proposed game are: (i) it solves two computer vision problems – object detection and labeling – in a single game; and (ii) it learns spatial relations within the image from game logs. The game has been evaluated through user studies, which confirmed that it was easy to understand, intuitive, and fun to play.
منابع مشابه
Application of Combined Local Object Based Features and Cluster Fusion for the Behaviors Recognition and Detection of Abnormal Behaviors
In this paper, we propose a novel framework for behaviors recognition and detection of certain types of abnormal behaviors, capable of achieving high detection rates on a variety of real-life scenes. The new proposed approach here is a combination of the location based methods and the object based ones. First, a novel approach is formulated to use optical flow and binary motion video as the loc...
متن کاملAutomatic Road Detection and Extraction From MultiSpectral Images Using a New Hierarchical Object-based Method
Road detection and Extraction is one of the most important issues in photogrammetry, remote sensing and machine vision. A great deal of research has been done in this area based on multispectral images, which are mostly relatively good results. In this paper, a novel automated and hierarchical object-based method for detecting and extracting of roads is proposed. This research is based on the M...
متن کاملNeuroTracker Three-Dimensional Multiple Object Tracking (3D-MOT): A Tool to Improve Concentration and Game Performance among Basketball Athletes
Background. Basketball is a dynamic sport where athletes are expected to observe the fast movements of team players and opponents in a performance. This condition requires a collective focus on the stipulated tasks, to achieve peak performance. Besides, training is frequently performed to improve concentration and athlete performance. This instigates the need for technology-based methods, inclu...
متن کاملLow Cost UAV-based Remote Sensing for Autonomous Wildlife Monitoring
In recent years, developments in unmanned aerial vehicles, lightweight on-board computers, and low-cost thermal imaging sensors offer a new opportunity for wildlife monitoring. In contrast with traditional methods now surveying endangered species to obtain population and location has become more cost-effective and least time-consuming. In this paper, a low-cost UAV-based remote sensing platform...
متن کاملMoving Objects Tracking Using Statistical Models
Object detection plays an important role in successfulness of a wide range of applications that involve images as input data. In this paper we have presented a new approach for background modeling by nonconsecutive frames differencing. Direction and velocity of moving objects have been extracted in order to get an appropriate sequence of frames to perform frame subtraction. Stationary parts of ...
متن کامل