Add to ORKGAbstract—An efficient approach based on particle filter and FCM is presented to realize moving infrared multi-target tracking under Island shore background. Some possible targets can be obtained and saved by processing IR data through denoising by median filter, extracting edge, identifying and eliminating sea-sky line, morphological filtering and etc. Data association and robust multi-target tracking can be realized by the proposed particle filter and FCM algorithm. The proposed approach is validated to track multi-target effectively by using actual infrared image sequences with Island shore background. Experiment results indicate the feasibility and effectiveness of the proposed method. Keywords- multi-target tracking; particle filter; FC...
With the quick development of computer and electronic techniques, infrared sensor-based object track...
Detection and tracking of approaching targets in an infrared (IR) image sequence is important for su...
Data association and model selection are important factors for tracking multiple targets in a dense...
Particle filtering is investigated extensively due to its importance in target tracking for nonlinea...
A new man-made target tracking algorithm integrating features from (Forward Looking InfraRed) image ...
In this paper we investigate the effectiveness of particle filters for object tracking in infrared v...
Particle filtering is being investigated extensively due to its important feature of target tracking...
Dim point target tracking in infrared (IR) images has been an active research area especially in mil...
Particle filtering is being investigated extensively due to its important feature of target tracking...
Tracking of maneuvering target in infrared images is a challenging problem, especially when the targ...
Based on implementing target tracking by means of particle filtering, a technique framework of track...
Abstract—In this paper, we propose a robust approach for detection and tracking targets in forward l...
Efficient multiple objects detection and tracking using particle filter presents a new approach for ...
AbstractTraditional particle filter (PF) will have bad effect when the target's color is similar to ...
Traditional particle filter (PF) will have bad effect when the target’s color is similar to the back...
With the quick development of computer and electronic techniques, infrared sensor-based object track...
Detection and tracking of approaching targets in an infrared (IR) image sequence is important for su...
Data association and model selection are important factors for tracking multiple targets in a dense...
Particle filtering is investigated extensively due to its importance in target tracking for nonlinea...
A new man-made target tracking algorithm integrating features from (Forward Looking InfraRed) image ...
In this paper we investigate the effectiveness of particle filters for object tracking in infrared v...
Particle filtering is being investigated extensively due to its important feature of target tracking...
Dim point target tracking in infrared (IR) images has been an active research area especially in mil...
Particle filtering is being investigated extensively due to its important feature of target tracking...
Tracking of maneuvering target in infrared images is a challenging problem, especially when the targ...
Based on implementing target tracking by means of particle filtering, a technique framework of track...
Abstract—In this paper, we propose a robust approach for detection and tracking targets in forward l...
Efficient multiple objects detection and tracking using particle filter presents a new approach for ...
AbstractTraditional particle filter (PF) will have bad effect when the target's color is similar to ...
Traditional particle filter (PF) will have bad effect when the target’s color is similar to the back...
With the quick development of computer and electronic techniques, infrared sensor-based object track...
Detection and tracking of approaching targets in an infrared (IR) image sequence is important for su...
Data association and model selection are important factors for tracking multiple targets in a dense...