Jose Luis Alarcon Herrera's research while affiliated with University of Windsor and other places

Publications (6)

Conference Paper
Full-text available
An economical self-localization system which uses a monocular camera and a set of artificial landmarks is presented herein. The system represents the surrounding environment as a topological graph where each node corresponds to an artificial landmark and each edge corresponds to a relative pose between two landmarks. The edges are weighted based on...
Conference Paper
A method for PTZ camera reconfiguration is presented. The objective of this work is to improve target tracking and surveillance applications in unmanned vehicles. Pan, tilt, and zoom configurations are computed transforming the visual constraints, given by a model of visual coverage, into geometric constraints. In the case of multiple targets the c...
Conference Paper
A method for PTZ camera re-configuration oriented toward tracking applications and surveillance systems is presented. Pan, tilt, and zoom configurations are computed based on visual constraints given by a coverage model of the camera system. The visual constraints are transformed into geometric constraints by the coverage model, and the final pan,...
Conference Paper
Full-text available
A method for sensor planning based on a previously developed coverage strength model is presented. The approach taken is known as generate-and-test: a feasible solution is predefined and then tested using the coverage model. The relationship between the resolution of the imaging system and its performance is the key component to perform sensor plan...
Conference Paper
Full-text available
An intuitive three-dimensional task-oriented coverage model for 3D multi-camera networks based on fuzzy sets is presented. The model captures the vagueness inherent in the concept of visual cover- age, with a specific target of the feature detection and matching task. The coverage degree predicted by the model is validated against various multi-cam...
Conference Paper
Full-text available
A comprehensive, intuitive, task-oriented three-dimensional coverage model for cameras and multi-camera networks using fuzzy sets is presented. The model captures the vagueness inherent in the concept of visual coverage. At present, the model can be used to evaluate, given a scene model and an objective, the coverage performance of a given camera o...

Citations

... The objectives of PTZ camera networks range from tracking to target image quality improvement, workspace visibility allocation, or a combination of those [2]. Target tracking in PTZ networks is a popular reconfiguration goal [6,8,19,20]. Specific PTZ reconfiguration solutions for tracking include Markov decision processes [21], and game theory [22,23]. A target image quality metric was implemented in [24], while a workspace visibility metric was used in [7,[25][26][27]. ...
... For instance, a tag-based precision landing on a recharging station for automated energy replenishment of micro UAVs was proposed in [56]. However, few studies have focused on using tags as a significant part of their localization solution [57,58]. ...
... Sub-section :2. 1 The i th vertices of the polygon P Section :2. 1.2.1 Only the Section 2. 1.2 x i ...
... Scott [6] proposes an improved model making fewer assumptions about the object; his concept of verified measurability is similar to our bounded performance metric. Alarcon Herrera et al. [12] present an initial analysis of the viewpoint evaluation component using an early formulation of the coverage model of Section IV. ...
... In Pascal Straub's thesis [130], we found that the most influential parameter for this function is the ratio of pixels in the view to be reconstructed, which are also visible in the remaining encoded views. Following Zhang et al. [13], who used that coverage to optimize the distribution of the movable cameras in their camera array for maximum image quality, we used the same definition from Mavrinac et al. [131]. They define the covered points in multi-camera systems C, as the points that are included in four sets: C V is the set of fully or partially visible points, C R denotes the points covered by a sufficient number of pixels, C F includes all points in focus and C D contains visible points based on the direction of the camera relative to the scene. ...
... It is desirable to eventually relax all three of these restrictions in further study on the topic. We also consider direct validation of the coverage model outside our scope, and direct the reader to our earlier validation work [Mavrinac et al. 2010a[Mavrinac et al. , 2010b[Mavrinac et al. , 2011. ...