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model-based object tracking

Accelerated Object Tracking with Local Binary Features

Accelerated Object Tracking with Local Binary Features

... strictly based on the candidate with the lowest Hamming ...motion model such as in [46]. A motion model such as a predictive Kalman filtering [47] introduced both a higher complexity to the algorithm ...

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Mean shift based object tracking with accurat...

Mean shift based object tracking with accurat...

... of object tracking, it is required to omit the background pixels from object ...the object contained in object model, some background pixels will certainly get introduced in ...

8

Rule Driven Object Tracking in Clutter and Partial Occlusion with Model Based Snakes

Rule Driven Object Tracking in Clutter and Partial Occlusion with Model Based Snakes

... for object tracking in clutter, partial occlusion, and complex ...desired object contours can be approximated by specific models, we use a shape prior knowledge in addition to the rule-driven ...

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Implementation and Comparison of Kernel and Silhouette Based Object Tracking

Implementation and Comparison of Kernel and Silhouette Based Object Tracking

... target tracking. It is a low complexity algorithm for tracking and undergoes independent of the features representative the ...a model of the chosen hue using a color histogram and uses the Hue ...

6

A Real time Visual Tracking System with Delivery Robot

A Real time Visual Tracking System with Delivery Robot

... context model is learned between the target object and its local surrounding region based on their spatial ...context model is used to update a spatio-temporal context model for the ...

5

Visual Tracking System for Target Representation and Localization

Visual Tracking System for Target Representation and Localization

... Visual object tracking is the process of tracking the object in ...the object representation models and tracking algorithms have attracted researchers in the process of visual ...

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Structural Similarity Based Object Tracking in Video Sequence

Structural Similarity Based Object Tracking in Video Sequence

... get tracking in video ...moving object, the measurement model and the function characterising the similarity between two images/video ...ject tracking in video sequences compared to track- ing ...

6

Object Tracking Using a New Level Set Model

Object Tracking Using a New Level Set Model

... The object contour could change due to the change in the location, orientation or due to the changeable nature of the object shape ...estimated object color and contour in one frame are the bases for ...

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Adaptive Policy-based Object Tracking using Reinforcement Learning.

Adaptive Policy-based Object Tracking using Reinforcement Learning.

... the model-construction mechanism, object tracking can also be categorized as a generative model-based, discriminative model-based, or hybrid generative-discriminative ...

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A REVIEW: OBJECT TRACKING AND ANALYSIS BASED SMART VIDEO SURVEILLANCE SYSTEM

A REVIEW: OBJECT TRACKING AND ANALYSIS BASED SMART VIDEO SURVEILLANCE SYSTEM

... parametric based strategies which are utilized for background subtraction techniques; some of these strategies utilized the Gaussian probability distribution model for every pixel in the picture ...

5

Tracking Moving Objects in Video

Tracking Moving Objects in Video

... of model based object recognition. A local gradient based method is proposed to estimate the 12 shape parameters and three pose ...localization. Model based vehicle localization ...

9

A robust tracking system for low frame rate video

A robust tracking system for low frame rate video

... of model parameters which establishes a parameter- particle look-up ...proposed tracking system for LFR video is systematically presented in ...proposed tracking system: (1) dom- inant color-spatial ...

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An enhanced Probability based object tracking technique for Multiple Object Tracking

An enhanced Probability based object tracking technique for Multiple Object Tracking

... Kalman filter is a successful linear optimal recursive estimator which is used to estimate the parameters of interest from the indirect, uncertain and inaccurate observations. Kalman filter processes the measurements as ...

7

A Review : Object Detection and Object Tracking Methods

A Review : Object Detection and Object Tracking Methods

... Mean-shift tracking [13] tries to find the area of a video frame that is locally most similar to a previously initialized ...the model and the current image region. In object tracking ...

6

OBJECT TRACKING BASED ON MOVING OBJECT DETECTION

OBJECT TRACKING BASED ON MOVING OBJECT DETECTION

... detection based on the neural background model automatically generated by a self-organizing method without prior knowledge about the involved patterns ...adaptive model can handle scenes containing ...

9

Multiple Object Detection and Tracking: A Survey

Multiple Object Detection and Tracking: A Survey

... detected object. In literature [9], the proposed method is based on particle filter, which overcomes some challenges of object ...target object robustly when target object is occluded ...

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A Computational Analysis of Recent Multi-Object Tracking Methods Based on Particle Filter, HMM and Appearance Information of Objects

A Computational Analysis of Recent Multi-Object Tracking Methods Based on Particle Filter, HMM and Appearance Information of Objects

... the tracking architecture itself, like in Reversible-Jump Markov Chain Monte Carlo (RJ-MCMC) [46], ...effective tracking global scene likelihood [22] models with a constant number of observations are ...

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Vision-Based Object Tracking Algorithm With AR. Drone

Vision-Based Object Tracking Algorithm With AR. Drone

... of object classes and ...an object from an image is the color based methods. The object and the background should have a significant color difference in order to successfully segment objects ...

5

Performance Evaluation Of GPU Accelerated Real-Time Discriminative Correlation Filter Based Short-Term Visual Object Tracking

Performance Evaluation Of GPU Accelerated Real-Time Discriminative Correlation Filter Based Short-Term Visual Object Tracking

... visual object trackers and the video dataset challenge used to benchmark the performance of the ...visual object tracking, computing hardware, parallel computing, OpenCL framework and OpenVX are also ...

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A NOVEL APPROACH BASED ON 2D - DWT AND VARIANCE METHOD FOR HUMAN DETECTION AND TRACKING IN VIDEO SURVEILLANCE APPLICATIONS

A NOVEL APPROACH BASED ON 2D - DWT AND VARIANCE METHOD FOR HUMAN DETECTION AND TRACKING IN VIDEO SURVEILLANCE APPLICATIONS

... i.e. object of interest in video ...for object detection and ...variance based object detection is proposed and is compared with existing well known mean shift ...the object and finally ...

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