Real-Time Object Detection for "Smart" Vehicles

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Real-Time Object Detection for "Smart" Vehicles
This paper presents an e cient shape-based object detection method based on Distance Transforms and describes its use for real-time vision on-board vehicles. The method uses a template hierarchy to capture the variety of object shapes; e cient hierarchies can be generated o ine for given shape distributions using stochastic optimization techniques i.e. simulated annealing. Online, matching involves a simultaneous coarse-to- ne approach over the shape hierarchy and over the transformation parameters. Very large speedup factors are typically obtained when comparing this approach with the equivalent brute-force formulation; we have measured gains of several orders of magnitudes. We present experimental results on the real-time detection of tra c signs and pedestrians froma moving vehicle. Because of the highly time sensitive nature of these vision tasks, we also discuss some hardwarespeci c implementationsof the proposed method as far as SIMD parallelism is concerned.
Dariu Gavrila, Vasanth Philomin
Added 03 Aug 2010
Updated 03 Aug 2010
Type Conference
Year 1999
Where ICCV
Authors Dariu Gavrila, Vasanth Philomin
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