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robust real-time objects

Robust Real-Time Background Subtraction Based on Local Neighborhood Patterns

Robust Real-Time Background Subtraction Based on Local Neighborhood Patterns

... moving objects is background subtraction, in which a model of the static scene background is subtracted from each frame of a video ...because objects are occluding partially or totally direct light ...a ...

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Robust Real-Time 3D Object Tracking with Interfering Background Visual Projections

Robust Real-Time 3D Object Tracking with Interfering Background Visual Projections

... In the first experiment using sequence 1 (1420 frames long), two glowing balls (green and red, 6 inches in diameter) patched with reflective material were tracked with interfering visual patterns of similar color ...

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Using Prior Knowledge for Verification and Elimination of Stationary and Variable Objects in Real-time Images

Using Prior Knowledge for Verification and Elimination of Stationary and Variable Objects in Real-time Images

... (i.e., objects other than oil palm trees) ...for robust feature selection. Finally, the selected robust features are fused in a matrix by a serial approach, that is later fed to ensemble classifier ...

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A Robust Algorithm for Real Time Tracking With Optical Flow

A Robust Algorithm for Real Time Tracking With Optical Flow

... Optical flow technique characterized as the changes in the movement of object with respect to brightness pattern in image. Optical flow computes the motion between two frames for every pixel in the frame which are taken ...

6

Advanced Real Time Objects detection and Tracking in HEVC Videos

Advanced Real Time Objects detection and Tracking in HEVC Videos

... of real-time multiple object detection and ...gives robust to this project and which made this project more robust system which benefits from the combination between ...using real ...

5

A Voting Algorithm for Dynamic Object Identification and Pose Estimation

A Voting Algorithm for Dynamic Object Identification and Pose Estimation

... 3D objects in different ...image objects using a voting technique for object recognition and posterior pose estimation in the context of the car ...for robust object ...of real-time 3D ...

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Robust Object Detection with Real-Time Fusion of Multiview Foreground Silhouettes

Robust Object Detection with Real-Time Fusion of Multiview Foreground Silhouettes

... Multiple cameras have been employed to remove or detect cast shadows. Although this approach requires more dedicated cameras, it improves the accuracy and robustness of the detection owing to information fusion. Onoguchi ...

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Robust Real-Time Tracking for Visual Surveillance

Robust Real-Time Tracking for Visual Surveillance

... and update previously observed objects in the current time step. The tracking algorithms have to deal with motion detec- tion errors and complex object interactions in the congested apron area, for example, ...

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A Robust Real Time People tracking and Counting incorporating shadow detection and removal

A Robust Real Time People tracking and Counting incorporating shadow detection and removal

... a robust counting system, Gaussian mixture model (GMM) is used to describe the background ...moving objects detection by eliminating the shadows from ...

8

Robust Real Time Stereoscopic Alignment

Robust Real Time Stereoscopic Alignment

... The previously proposed alignment algorithm required tests on both live and still images show that the alignment process works as expected when background is predominantly visible with only partial occlusion from ...

8

Implementation of Speeded Up Robust Feature Algorithm for Real Time Logo Detection

Implementation of Speeded Up Robust Feature Algorithm for Real Time Logo Detection

... Most existing ways to deal with logo detection depend close by created features, e.g., HOG, SIFT, and shading histogram, edge [8]. They are restricted in acquiring more expressive portrayal and model robustness for ...

7

A Secure Authentication Method by Using Virtual Objects

A Secure Authentication Method by Using Virtual Objects

... Currently, knowledge about user behaviors on selecting their 3-D password does not exist. Every user has different requirements and preferences when selecting the appropriate 3-D password. This fact will increase the ...

9

Hands-on experience can lead to systematic mistakes: A study on adults’ understanding of sinking objects

Hands-on experience can lead to systematic mistakes: A study on adults’ understanding of sinking objects

... given real- life objects had to switch from one type of stimulus to another ...to real objects used in the test ...with real-life ...with real-life ...with real-life ...

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OBJECT REORGANIZATION AND TRACKING USING UNMANNED AERIAL VEHICLE

OBJECT REORGANIZATION AND TRACKING USING UNMANNED AERIAL VEHICLE

... The motivation of this work is to show that Visual Object Tracking can be a reliable source of information for Unmanned Air Vehicles (UAV) to perform visually guided tasks on GPS-denied unstructured outdoors ...

6

Real Time Exact 3D Modeling of Objects from 2D Images using Voxelisation

Real Time Exact 3D Modeling of Objects from 2D Images using Voxelisation

... Reconstruction of 3D object models using voxelisation can be a better way for exact reconstruction of 3D models in a real time environment. First the 2D images are acquired from cameras and they are ...

5

Detection and Recognition of Objects in a Real Time

Detection and Recognition of Objects in a Real Time

... the objects by matching the objects in the image against some predefined objects which is already stored in the ...in real time images obliges local features of the image which are ...

6

Java Based Real Time Programming - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials

Java Based Real Time Programming - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials

... Perhaps the most well-known usage of semaphores is for mutual exclusion. Any of the semaphore types used for signaling can be used for mutual exclusion, but there are reasons for providing a special mutual exclusion ...

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Autonomous Navigating Drone with Object Detection

Autonomous Navigating Drone with Object Detection

... Collect image set of a particular object. e.g.: person. Crop these images for better haarCascade file. Collect negative image set which doesn't contain object. Use openCV to create samples utility to generate ...

5

Real time Background Suppression Technique for Detection of Moving Objects in Video Surveillance System

Real time Background Suppression Technique for Detection of Moving Objects in Video Surveillance System

... © 2013, IJCSMC All Rights Reserved 66 F is the frame, i is the frame number, and T is the threshold value. This allows for the consideration of slow movement updates as the scene changes. The method takes into the ...

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A Real-time, Robust Control Strategy for Plug-in Hybrid Electric Vehicles.

A Real-time, Robust Control Strategy for Plug-in Hybrid Electric Vehicles.

... With such a method, in total 24921 drive cycles have been generated and a section of one of the drive cycles can be found in Fig. 6.11 as an example. To reduce the simulation time, the maximum number of drive ...

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